Week9_dimensionality_solutions.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Week 9 - Dimensionality reduction\n",
    "\n",
    "In this lab, you'll get a chance to experiment with library implementations of the dimensionality reduction techniques discussed in lecture.\n",
    "\n",
    "You will not be implementing the algorithms yourself. Instead you will be expected to use the library methods by reading the online documentation. This is intended to be practical experience - finding solutions based on existing libraries is usually much more practical than implementing a solution from scratch!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Installation notes\n",
    "\n",
    "To run this notebook you will need to install several packages:\n",
    "\n",
    "    conda install pandas\n",
    "    conda install scikit-learn\n",
    "    conda install -c conda-forge umap-learn\n",
    "    conda install -c conda-forge altair vega"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import gzip\n",
    "import re\n",
    "from urllib.request import urlretrieve\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.manifold import TSNE, MDS\n",
    "from umap import UMAP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import altair"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "# Set default figure size to a larger size\n",
    "plt.rcParams['figure.figsize'] = [10, 10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following code will download the raw [FlyAtlas](http://flyatlas.org/atlas.cgi) data from [NCBI's Gene Expression Omnibus](https://www.ncbi.nlm.nih.gov/geo/). It may take a few moments to download."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "ename": "URLError",
     "evalue": "<urlopen error [Errno 8] nodename nor servname provided, or not known>",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mgaierror\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[0;32m~/anaconda3/lib/python3.6/urllib/request.py\u001b[0m in \u001b[0;36mftp_open\u001b[0;34m(self, req)\u001b[0m\n\u001b[1;32m   1523\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1524\u001b[0;31m             \u001b[0mhost\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msocket\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgethostbyname\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhost\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1525\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mOSError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mgaierror\u001b[0m: [Errno 8] nodename nor servname provided, or not known",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mURLError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-5-35a3e0987efb>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0murlretrieve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE7nnn/GSE7763/matrix/GSE7763_series_matrix.txt.gz\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"flydata.txt.gz\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/anaconda3/lib/python3.6/urllib/request.py\u001b[0m in \u001b[0;36murlretrieve\u001b[0;34m(url, filename, reporthook, data)\u001b[0m\n\u001b[1;32m    246\u001b[0m     \u001b[0murl_type\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpath\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msplittype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    247\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 248\u001b[0;31m     \u001b[0;32mwith\u001b[0m \u001b[0mcontextlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclosing\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murlopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mfp\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    249\u001b[0m         \u001b[0mheaders\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minfo\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    250\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/urllib/request.py\u001b[0m in \u001b[0;36murlopen\u001b[0;34m(url, data, timeout, cafile, capath, cadefault, context)\u001b[0m\n\u001b[1;32m    221\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    222\u001b[0m         \u001b[0mopener\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_opener\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 223\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mopener\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    224\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    225\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0minstall_opener\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mopener\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/urllib/request.py\u001b[0m in \u001b[0;36mopen\u001b[0;34m(self, fullurl, data, timeout)\u001b[0m\n\u001b[1;32m    524\u001b[0m             \u001b[0mreq\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmeth\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreq\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    525\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 526\u001b[0;31m         \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_open\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreq\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    527\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    528\u001b[0m         \u001b[0;31m# post-process response\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/urllib/request.py\u001b[0m in \u001b[0;36m_open\u001b[0;34m(self, req, data)\u001b[0m\n\u001b[1;32m    542\u001b[0m         \u001b[0mprotocol\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mreq\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtype\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    543\u001b[0m         result = self._call_chain(self.handle_open, protocol, protocol +\n\u001b[0;32m--> 544\u001b[0;31m                                   '_open', req)\n\u001b[0m\u001b[1;32m    545\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    546\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/urllib/request.py\u001b[0m in \u001b[0;36m_call_chain\u001b[0;34m(self, chain, kind, meth_name, *args)\u001b[0m\n\u001b[1;32m    502\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mhandler\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mhandlers\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    503\u001b[0m             \u001b[0mfunc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhandler\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmeth_name\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 504\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    505\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    506\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/urllib/request.py\u001b[0m in \u001b[0;36mftp_open\u001b[0;34m(self, req)\u001b[0m\n\u001b[1;32m   1524\u001b[0m             \u001b[0mhost\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msocket\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgethostbyname\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhost\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1525\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mOSError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mmsg\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1526\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mURLError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1527\u001b[0m         \u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mattrs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msplitattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreq\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mselector\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1528\u001b[0m         \u001b[0mdirs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'/'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mURLError\u001b[0m: <urlopen error [Errno 8] nodename nor servname provided, or not known>"
     ]
    }
   ],
   "source": [
    "urlretrieve(\"ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE7nnn/GSE7763/matrix/GSE7763_series_matrix.txt.gz\", filename=\"flydata.txt.gz\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following two cells will open the compressed file you downloaded from GEO into a `pandas` data frame, then reopen the file and parse out the sample title line in order to use this as the column names for the data frame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "with gzip.open(\"data/flydata.txt.gz\") as handle:\n",
    "    expression = pd.read_csv(handle, sep=\"\\t\", comment=\"!\", index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "with gzip.open(\"data/flydata.txt.gz\") as handle:\n",
    "    for line in handle:\n",
    "        line = line.decode(\"utf-8\")\n",
    "        if line.startswith(\"!Sample_title\"):\n",
    "            header = [x.strip('\"') for x in line.split(\"\\t\")[1:]]\n",
    "            expression.columns = header\n",
    "            break"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Output the data frame and see what we have. It should have microarray probe ID's as row names (these can be mapped to gene names but we will skip that for today) and sample names as column names.\n",
    "\n",
    "The data frame has 18952 rows (measurements) and 136 columns (samples) so it is certainly high dimensional."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
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       "      <td>59.48000</td>\n",
       "      <td>45.96110</td>\n",
       "      <td>117.23300</td>\n",
       "      <td>120.67600</td>\n",
       "      <td>...</td>\n",
       "      <td>114.6910</td>\n",
       "      <td>65.3478</td>\n",
       "      <td>75.9195</td>\n",
       "      <td>90.9804</td>\n",
       "      <td>73.6687</td>\n",
       "      <td>66.1671</td>\n",
       "      <td>90.4524</td>\n",
       "      <td>138.4540</td>\n",
       "      <td>56.2824</td>\n",
       "      <td>65.0492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1622893_at</th>\n",
       "      <td>277.0040</td>\n",
       "      <td>311.8180</td>\n",
       "      <td>368.8520</td>\n",
       "      <td>299.8900</td>\n",
       "      <td>8.88177</td>\n",
       "      <td>3.24583</td>\n",
       "      <td>7.82305</td>\n",
       "      <td>6.46871</td>\n",
       "      <td>14.82890</td>\n",
       "      <td>17.92080</td>\n",
       "      <td>...</td>\n",
       "      <td>1007.2800</td>\n",
       "      <td>6599.7700</td>\n",
       "      <td>2592.3300</td>\n",
       "      <td>4450.3900</td>\n",
       "      <td>2793.9600</td>\n",
       "      <td>3488.1200</td>\n",
       "      <td>6614.5000</td>\n",
       "      <td>339.2480</td>\n",
       "      <td>8948.1000</td>\n",
       "      <td>8636.3700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1622894_at</th>\n",
       "      <td>24.4888</td>\n",
       "      <td>17.0768</td>\n",
       "      <td>10.8221</td>\n",
       "      <td>29.3506</td>\n",
       "      <td>8.97962</td>\n",
       "      <td>6.89748</td>\n",
       "      <td>7.22628</td>\n",
       "      <td>10.91120</td>\n",
       "      <td>8.15422</td>\n",
       "      <td>1.30827</td>\n",
       "      <td>...</td>\n",
       "      <td>16.5692</td>\n",
       "      <td>155.5910</td>\n",
       "      <td>35.4175</td>\n",
       "      <td>41.9005</td>\n",
       "      <td>39.2848</td>\n",
       "      <td>37.0554</td>\n",
       "      <td>114.2510</td>\n",
       "      <td>10.0243</td>\n",
       "      <td>165.8780</td>\n",
       "      <td>156.4280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1622895_at</th>\n",
       "      <td>57.2783</td>\n",
       "      <td>57.8029</td>\n",
       "      <td>47.5623</td>\n",
       "      <td>37.9146</td>\n",
       "      <td>56.25390</td>\n",
       "      <td>74.28550</td>\n",
       "      <td>69.27010</td>\n",
       "      <td>56.65100</td>\n",
       "      <td>124.72900</td>\n",
       "      <td>148.08400</td>\n",
       "      <td>...</td>\n",
       "      <td>25.9620</td>\n",
       "      <td>95.4693</td>\n",
       "      <td>56.0100</td>\n",
       "      <td>66.2136</td>\n",
       "      <td>71.2417</td>\n",
       "      <td>65.4694</td>\n",
       "      <td>88.5396</td>\n",
       "      <td>56.8106</td>\n",
       "      <td>44.0052</td>\n",
       "      <td>74.8953</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 136 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Adult Hind Gut biological rep1  Adult Hind Gut biological rep2  \\\n",
       "ID_REF                                                                         \n",
       "1616608_a_at                       1092.9800                        954.7980   \n",
       "1622892_s_at                         59.9637                         73.3054   \n",
       "1622893_at                          277.0040                        311.8180   \n",
       "1622894_at                           24.4888                         17.0768   \n",
       "1622895_at                           57.2783                         57.8029   \n",
       "\n",
       "              Adult Hind Gut biological rep3  Adult Hind Gut biological rep4  \\\n",
       "ID_REF                                                                         \n",
       "1616608_a_at                       1111.6100                       1052.7700   \n",
       "1622892_s_at                         70.4826                         86.4422   \n",
       "1622893_at                          368.8520                        299.8900   \n",
       "1622894_at                           10.8221                         29.3506   \n",
       "1622895_at                           47.5623                         37.9146   \n",
       "\n",
       "              Adult Mid Gut biological rep1  Adult Mid Gut biological rep2  \\\n",
       "ID_REF                                                                       \n",
       "1616608_a_at                     1253.53000                     1059.88000   \n",
       "1622892_s_at                       45.01120                       62.82730   \n",
       "1622893_at                          8.88177                        3.24583   \n",
       "1622894_at                          8.97962                        6.89748   \n",
       "1622895_at                         56.25390                       74.28550   \n",
       "\n",
       "              Adult Mid Gut biological rep3  Adult Mid Gut biological rep4  \\\n",
       "ID_REF                                                                       \n",
       "1616608_a_at                     1173.37000                     1193.86000   \n",
       "1622892_s_at                       59.48000                       45.96110   \n",
       "1622893_at                          7.82305                        6.46871   \n",
       "1622894_at                          7.22628                       10.91120   \n",
       "1622895_at                         69.27010                       56.65100   \n",
       "\n",
       "              Adult Accessory gland biological rep1  \\\n",
       "ID_REF                                                \n",
       "1616608_a_at                             1155.71000   \n",
       "1622892_s_at                              117.23300   \n",
       "1622893_at                                 14.82890   \n",
       "1622894_at                                  8.15422   \n",
       "1622895_at                                124.72900   \n",
       "\n",
       "              Adult Accessory gland biological rep2  \\\n",
       "ID_REF                                                \n",
       "1616608_a_at                             1036.53000   \n",
       "1622892_s_at                              120.67600   \n",
       "1622893_at                                 17.92080   \n",
       "1622894_at                                  1.30827   \n",
       "1622895_at                                148.08400   \n",
       "\n",
       "                                         ...                              \\\n",
       "ID_REF                                   ...                               \n",
       "1616608_a_at                             ...                               \n",
       "1622892_s_at                             ...                               \n",
       "1622893_at                               ...                               \n",
       "1622894_at                               ...                               \n",
       "1622895_at                               ...                               \n",
       "\n",
       "              Adult Thoracic Muscle biological rep3  \\\n",
       "ID_REF                                                \n",
       "1616608_a_at                              5887.9700   \n",
       "1622892_s_at                               114.6910   \n",
       "1622893_at                                1007.2800   \n",
       "1622894_at                                  16.5692   \n",
       "1622895_at                                  25.9620   \n",
       "\n",
       "              Adult Thoracic Muscle biological rep4  \\\n",
       "ID_REF                                                \n",
       "1616608_a_at                              1874.5500   \n",
       "1622892_s_at                                65.3478   \n",
       "1622893_at                                6599.7700   \n",
       "1622894_at                                 155.5910   \n",
       "1622895_at                                  95.4693   \n",
       "\n",
       "              Adult Wings biological rep1  Adult Wings biological rep2  \\\n",
       "ID_REF                                                                   \n",
       "1616608_a_at                     804.5200                     692.3270   \n",
       "1622892_s_at                      75.9195                      90.9804   \n",
       "1622893_at                      2592.3300                    4450.3900   \n",
       "1622894_at                        35.4175                      41.9005   \n",
       "1622895_at                        56.0100                      66.2136   \n",
       "\n",
       "              Adult Wings biological rep3  Adult Wings biological rep4  \\\n",
       "ID_REF                                                                   \n",
       "1616608_a_at                     983.8000                     813.8470   \n",
       "1622892_s_at                      73.6687                      66.1671   \n",
       "1622893_at                      2793.9600                    3488.1200   \n",
       "1622894_at                        39.2848                      37.0554   \n",
       "1622895_at                        71.2417                      65.4694   \n",
       "\n",
       "              Adult Female Spermatheca Mated (REDONE) biological rep1  \\\n",
       "ID_REF                                                                  \n",
       "1616608_a_at                                          2557.6200         \n",
       "1622892_s_at                                            90.4524         \n",
       "1622893_at                                            6614.5000         \n",
       "1622894_at                                             114.2510         \n",
       "1622895_at                                              88.5396         \n",
       "\n",
       "              Adult Female Spermatheca Mated (REDONE) biological rep2  \\\n",
       "ID_REF                                                                  \n",
       "1616608_a_at                                          9660.4700         \n",
       "1622892_s_at                                           138.4540         \n",
       "1622893_at                                             339.2480         \n",
       "1622894_at                                              10.0243         \n",
       "1622895_at                                              56.8106         \n",
       "\n",
       "              Adult Female Spermatheca Mated (REDONE) biological rep3  \\\n",
       "ID_REF                                                                  \n",
       "1616608_a_at                                          2034.6300         \n",
       "1622892_s_at                                            56.2824         \n",
       "1622893_at                                            8948.1000         \n",
       "1622894_at                                             165.8780         \n",
       "1622895_at                                              44.0052         \n",
       "\n",
       "              Adult Female Spermatheca Mated (REDONE) biological rep4\"\\n  \n",
       "ID_REF                                                                    \n",
       "1616608_a_at                                          2236.4700           \n",
       "1622892_s_at                                            65.0492           \n",
       "1622893_at                                            8636.3700           \n",
       "1622894_at                                             156.4280           \n",
       "1622895_at                                              74.8953           \n",
       "\n",
       "[5 rows x 136 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "expression.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These 136 columns represent 4 replicates each from 34 different tissue types."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following code snippet removes the replicate name from each sample, so we can use these labels as categories for plotting later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "sample_categories = [re.match('(.+?)(( biological)? rep\\d+)', c).group(1)\n",
    "                     for c in expression.columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Adult Hind Gut',\n",
       " 'Adult Hind Gut',\n",
       " 'Adult Hind Gut',\n",
       " 'Adult Hind Gut',\n",
       " 'Adult Mid Gut',\n",
       " 'Adult Mid Gut',\n",
       " 'Adult Mid Gut',\n",
       " 'Adult Mid Gut',\n",
       " 'Adult Accessory gland',\n",
       " 'Adult Accessory gland',\n",
       " 'Adult Accessory gland',\n",
       " 'Adult Accessory gland',\n",
       " 'Adult Brain',\n",
       " 'Adult Brain',\n",
       " 'Adult Brain',\n",
       " 'Adult Brain',\n",
       " 'Adult Crop',\n",
       " 'Adult Crop',\n",
       " 'Adult Crop',\n",
       " 'Adult Crop',\n",
       " 'Larval Wandering fat body',\n",
       " 'Larval Wandering fat body',\n",
       " 'Larval Wandering fat body',\n",
       " 'Larval Wandering fat body',\n",
       " 'Adult Head',\n",
       " 'Adult Head',\n",
       " 'Adult Head',\n",
       " 'Adult Head',\n",
       " 'Larvae Wandering Tubules',\n",
       " 'Larvae Wandering Tubules',\n",
       " 'Larvae Wandering Tubules',\n",
       " 'Larvae Wandering Tubules',\n",
       " 'Adult Ovary',\n",
       " 'Adult Ovary',\n",
       " 'Adult Ovary',\n",
       " 'Adult Ovary',\n",
       " 'Adult Testes',\n",
       " 'Adult Testes',\n",
       " 'Adult Testes',\n",
       " 'Adult Testes',\n",
       " 'Adult Whole Fly',\n",
       " 'Adult Whole Fly',\n",
       " 'Adult Whole Fly',\n",
       " 'Adult Whole Fly',\n",
       " 'Adult Salivary Gland',\n",
       " 'Adult Salivary Gland',\n",
       " 'Adult Salivary Gland',\n",
       " 'Adult Salivary Gland',\n",
       " 'Adult Carcass',\n",
       " 'Adult Carcass',\n",
       " 'Adult Carcass',\n",
       " 'Adult Carcass',\n",
       " 'Adult Thoracoabdominal ganglion',\n",
       " 'Adult Thoracoabdominal ganglion',\n",
       " 'Adult Thoracoabdominal ganglion',\n",
       " 'Adult Thoracoabdominal ganglion',\n",
       " 'Larval Feeding Hind Gut',\n",
       " 'Larval Feeding Hind Gut',\n",
       " 'Larval Feeding Hind Gut',\n",
       " 'Larval Feeding Hind Gut',\n",
       " 'Larval Feeding Mid Gut',\n",
       " 'Larval Feeding Mid Gut',\n",
       " 'Larval Feeding Mid Gut',\n",
       " 'Larval Feeding Mid Gut',\n",
       " 'Larval Feeding Salivary Gland',\n",
       " 'Larval Feeding Salivary Gland',\n",
       " 'Larval Feeding Salivary Gland',\n",
       " 'Larval Feeding Salivary Gland',\n",
       " 'Adult Female Spermatheca Mated',\n",
       " 'Adult Female Spermatheca Mated',\n",
       " 'Adult Female Spermatheca Mated',\n",
       " 'Adult Female Spermatheca Mated',\n",
       " 'Adult Female Spermatheca Virgin',\n",
       " 'Adult Female Spermatheca Virgin',\n",
       " 'Adult Female Spermatheca Virgin',\n",
       " 'Adult Female Spermatheca Virgin',\n",
       " 'Larval Feeding Malpighian Tubule',\n",
       " 'Larval Feeding Malpighian Tubule',\n",
       " 'Larval Feeding Malpighian Tubule',\n",
       " 'Larval Feeding Malpighian Tubule',\n",
       " 'Larval Feeding Fatbody',\n",
       " 'Larval Feeding Fatbody',\n",
       " 'Larval Feeding Fatbody',\n",
       " 'Larval Feeding Fatbody',\n",
       " 'Larval Feeding Carcass',\n",
       " 'Larval Feeding Carcass',\n",
       " 'Larval Feeding Carcass',\n",
       " 'Larval Feeding Carcass',\n",
       " 'Larval Feeding Central Nevous System',\n",
       " 'Larval Feeding Central Nevous System',\n",
       " 'Larval Feeding Central Nevous System',\n",
       " 'Larval Feeding Central Nevous System',\n",
       " 'Larval Feeding Trachea',\n",
       " 'Larval Feeding Trachea',\n",
       " 'Larval Feeding Trachea',\n",
       " 'Larval Feeding Trachea',\n",
       " '5th Passage Drosophila S2 Cells',\n",
       " '5th Passage Drosophila S2 Cells',\n",
       " '5th Passage Drosophila S2 Cells',\n",
       " '5th Passage Drosophila S2 Cells',\n",
       " 'Adult Fatbody',\n",
       " 'Adult Fatbody',\n",
       " 'Adult Fatbody',\n",
       " 'Adult Fatbody',\n",
       " 'Adult Eye',\n",
       " 'Adult Eye',\n",
       " 'Adult Eye',\n",
       " 'Adult Eye',\n",
       " 'Adult Heart',\n",
       " 'Adult Heart',\n",
       " 'Adult Heart',\n",
       " 'Adult Heart',\n",
       " 'Adult Male Ejaculatory Duct',\n",
       " 'Adult Male Ejaculatory Duct',\n",
       " 'Adult Male Ejaculatory Duct',\n",
       " 'Adult Male Ejaculatory Duct',\n",
       " 'Whole Larvae Feeding',\n",
       " 'Whole Larvae Feeding',\n",
       " 'Whole Larvae Feeding',\n",
       " 'Whole Larvae Feeding',\n",
       " 'Adult Trachea',\n",
       " 'Adult Trachea',\n",
       " 'Adult Trachea',\n",
       " 'Adult Trachea',\n",
       " 'Adult Thoracic Muscle',\n",
       " 'Adult Thoracic Muscle',\n",
       " 'Adult Thoracic Muscle',\n",
       " 'Adult Thoracic Muscle',\n",
       " 'Adult Wings',\n",
       " 'Adult Wings',\n",
       " 'Adult Wings',\n",
       " 'Adult Wings',\n",
       " 'Adult Female Spermatheca Mated (REDONE)',\n",
       " 'Adult Female Spermatheca Mated (REDONE)',\n",
       " 'Adult Female Spermatheca Mated (REDONE)',\n",
       " 'Adult Female Spermatheca Mated (REDONE)']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_categories"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following function will render a two-dimensional scatterplot which is coloured by the list of categories. We will use it for PCA, MDS, tSNE, and UMAP visualizations.\n",
    "\n",
    "The first function provided uses the Altair plotting library, which is interactive, allowing us to mouseover the points. To use this, you must install Altair as described in the first cell.\n",
    "\n",
    "If you have trouble with Altair, you can use the second function below instead, which only requires matplotlib."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Here is a plotting function that uses Altair\n",
    "# You can interact with the plot by mousing over\n",
    "# the data points\n",
    "def plot_two_dimensions(data, categories):\n",
    "    df = pd.DataFrame(data)\n",
    "    df.columns = ['Dim{}'.format(n) for n in range(1,data.shape[1]+1)]\n",
    "    df['Category'] = sample_categories\n",
    "    df['Sample'] = expression.columns\n",
    "    chart = altair.Chart(df).mark_circle().\\\n",
    "                encode(x='Dim1',y='Dim2',color='Category',tooltip='Sample')\n",
    "    return chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Here is a plotting function that uses just matplotlib\n",
    "# Use this if you have trouble with Altair\n",
    "def plot_two_dimensions_mpl(data, categories):\n",
    "    categories = pd.Series(categories)\n",
    "    fig,ax = plt.subplots()\n",
    "    for category in categories.unique():\n",
    "        ax.scatter(data[categories==category, 0], \n",
    "                    data[categories==category, 1],\n",
    "                    label=category)\n",
    "    # Place the legend outside the plot, at x=1.05\n",
    "    # (where the plot runs from 0 to 1)\n",
    "    plt.legend(loc=(1.05,0))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It's common practice to take the log of expression values:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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MwAMAaEbgAQA0I/AAAJoReAAAzQg8AIBmBB4AQDMCDwCgGYEHANCMwAMAaEbgAQA0I/AAAJoReAAAzQg8AIBmBB4AQDMCDwCgGYEHANCMwAMAaEbgAQA0I/AAAJoReAAAzQg8AIBmBB4AQDMCDwCgGYEHANCMwAMAaEbgAQA0I/AAAJoReAAAzQg8AIBmBB4AQDMCDwCgGYEHANCMwAMAaEbgAQA0I/AAAJoReAAAzQg8AIBmBB4AQDMCDwCgGYEHANDMCwq8qnqqqh6tqoer6tAcu7CqDlbVk/N62xyvqrqtqg5X1SNVdeXSdvbO5Z+sqr1L42+a2z88163T7QMAgLPzCt7fGWO8cYyxe97fn+T+McauJPfP+0ny9iS75mVfko8mi1hLckuSNye5KsktS8H20bnsifX2rLIPAIBz3ovxFu0NSe6Yt+9I8s6l8TvHwpeTXFBVlyS5LsnBMcbxMcazSQ4m2TMfe80Y40tjjJHkzpO2tdI+AADOeS808EaS362qh6pq3xx73RjjmSSZ1xfP8UuTfHtp3SNz7HTjR1YYP90+fkJV7auqQ1V16NixY+v8EQEAtpbzX+D6bxljPF1VFyc5WFV/cJpla4WxsY7xMzbGuD3J7Umye/fuNa0LALBVvaBX8MYYT8/ro0k+k8Vn6L4z317NvD46Fz+S5LKl1XckeXqV8R0rjOc0+wAAOOetO/Cq6mer6tUnbie5NsljSe5OcuJM2L1JPjtv353kpnk27dVJnptvr96X5Nqq2jZPrrg2yX3zseer6up59uxNJ21rpX0AAJzzXshbtK9L8pn5l0vOT/KbY4z/WVUPJvlUVd2c5FtJ3j2XvzfJ9UkOJ/lBkvckyRjjeFV9KMmDc7kPjjGOz9vvTfLxJK9M8rl5SZJbT7EPAIBz3roDb4zxzSR/Y4Xx7yV52wrjI8n7TrGtA0kOrDB+KMkbznQfAAD4JgsAgHYEHgBAMwIPAKAZgQcA0IzAAwBoRuABADQj8AAAmhF4AADNCDwAgGYEHgBAMwIPAKAZgQcA0IzAAwBoRuABADQj8AAAmhF4AADNCDwAgGYEHgBAMwIPAKAZgQcA0IzAAwBoRuABADQj8AAAmhF4AADNCDwAgGYEHgBAMwIPAKAZgQcA0IzAAwBoRuABADQj8AAAmhF4AADNCDwAgGYEHgBAMwIPAKAZgQcA0IzAAwBoRuABADQj8AAAmhF4AADNCDwAgGYEHgBAMwIPAKAZgQcA0IzAAwBoRuABADQj8AAAmhF4AADNCDwAgGYEHgBAMwIPAKAZgQcA0IzAAwBoRuABADQj8AAAmhF4AADNCDwAgGYEHgBAMwIPAKAZgQcA0IzAAwBoRuABADQj8AAAmhF4AADNCDwAgGYEHgBAMwIPAKAZgQcA0IzAAwBoRuABADQj8AAAmhF4AADNCDwAgGYEHgBAMwIPAKAZgQcA0Mz5G30AXe3cf8+Pbz916zs28EgAgHONV/AAAJoReAAAzQg8AIBmBB4AQDMCDwCgGYEHANCMwAMAaEbgAQA0I/AAAJoReAAAzQg8AIBmBB4AQDMCDwCgGYEHANCMwAMAaEbgAQA0I/AAAJoReAAAzQg8AIBmBN5LYOf+e7Jz/z0bfRgAwDlC4AEANCPwAACaEXgAAM0IPACAZgQeAEAzAg8AoJnzN/oAziXLfyrlqVvfsYFHAgB05hU8AIBmBN4G8cePAYAXy5YOvKraU1Vfr6rDVbV/o48HAGAz2LKfwauq85J8JMnfS3IkyYNVdfcY4/c39sjWxufyAICzbcsGXpKrkhweY3wzSarqriQ3JNlSgbdspbdsRR8AsFZbOfAuTfLtpftHkrx5g47lRbMZPqcnMgFga9nKgVcrjI2fWKBqX5J98+6fVNXXX/SjSi5K8t2XYD8vmfrwRh/BWddujhoyR5ufOdr8zNHWcKp5+ssvZKNbOfCOJLls6f6OJE8vLzDGuD3J7S/lQVXVoTHG7pdyn6yNOdr8zNHmZ442P3O0NbxY87SVz6J9MMmuqrq8ql6e5MYkd2/wMQEAbLgt+wreGOOHVfX+JPclOS/JgTHG4xt8WAAAG27LBl6SjDHuTXLvRh/HSV7St4RZF3O0+Zmjzc8cbX7maGt4UeapxhirLwUAwJaxlT+DBwDACgTeWeJr015aVXWgqo5W1WNLYxdW1cGqenJeb5vjVVW3zbl5pKquXFpn71z+yarauzT+pqp6dK5zW1Wt9Gd5OI2quqyqvlBVT1TV41X1S3PcPG0SVfUzVfWVqvranKN/N8cvr6oH5u/7k/NEtlTVK+b9w/PxnUvb+sAc/3pVXbc07rnxLKiq86rqq1X1O/O+Odpkquqp+Xz0cFUdmmMb93w3xnB5gZcsTvL4RpLXJ3l5kq8luWKjj6vzJcnfTnJlkseWxv5Dkv3z9v4kH563r0/yuSz+duLVSR6Y4xcm+ea83jZvb5uPfSXJ35zrfC7J2zf6Z95qlySXJLly3n51kj9McoV52jyX+Xt71bz9siQPzN/9p5LcOMd/Pcl75+1/luTX5+0bk3xy3r5iPu+9Isnl8/nwPM+NZ3Wu/nmS30zyO/O+OdpklyRPJbnopLENe77zCt7Z8eOvTRtj/FmSE1+bxotkjPHFJMdPGr4hyR3z9h1J3rk0fudY+HKSC6rqkiTXJTk4xjg+xng2ycEke+ZjrxljfGks/lXdubQtztAY45kxxu/N288neSKLb6AxT5vE/F3/ybz7snkZSd6a5NNz/OQ5OjF3n07ytvkqwg1J7hpj/OkY44+SHM7iedFz41lQVTuSvCPJf5v3K+Zoq9iw5zuBd3as9LVpl27QsZzLXjfGeCZZxEWSi+f4qebndONHVhhnnebbRL+QxStE5mkTmW/9PZzkaBb/MflGku+PMX44F1n+vf54LubjzyV5bdY+d6zNf0ryL5P8+bz/2pijzWgk+d2qeqgW36SVbODz3Zb+MymbyKpfm8aGOtX8rHWcdaiqVyX5rSS/PMb449N8bMQ8bYAxxo+SvLGqLkjymSQ/v9Ji83qtc7HSiwjmaA2q6u8nOTrGeKiqrjkxvMKi5mjjvWWM8XRVXZzkYFX9wWmWfdGf77yCd3as+rVpvCS+M1/Gzrw+OsdPNT+nG9+xwjhrVFUvyyLufmOM8dtz2DxtQmOM7yf5X1l8HuiCqjrxAsDy7/XHczEf/7ksPiqx1rnjzL0lyT+oqqeyePv0rVm8omeONpkxxtPz+mgW/7N0VTbw+U7gnR2+Nm1zuDvJiTOO9ib57NL4TfOspauTPDdfKr8vybVVtW2e2XRtkvvmY89X1dXzsys3LW2LMzR/dx9L8sQY41eXHjJPm0RVbZ+v3KWqXpnk72bxWckvJHnXXOzkOToxd+9K8vn5eaC7k9w4z+C8PMmuLD4Q7rnxBRpjfGCMsWOMsTOL39/nxxj/KOZoU6mqn62qV5+4ncXz1GPZyOe7jT7rpMslizNi/jCLz6/8ykYfT/dLkk8keSbJ/8vi/2xuzuJzJvcneXJeXziXrSQfmXPzaJLdS9v5J1l82Phwkvcsje+e/zi/keQ/Z/5RcJc1zdHfyuIthEeSPDwv15unzXNJ8teTfHXO0WNJ/s0cf30W//E/nOR/JHnFHP+Zef/wfPz1S9v6lTkPX8/S2X2eG8/qfF2TvziL1hxtosucj6/Ny+Mnfo8b+XznmywAAJrxFi0AQDMCDwCgGYEHANCMwAMAaEbgAQA0I/AAAJoReAAAzQg8AIBm/j8yUFWuWF8GLwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plt.hist(expression.values.flatten(), bins=200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plt.hist(np.log10(expression).values.flatten(), bins=200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "log_expression = np.log(expression + 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following code performs PCA on the dataset. The `log_expression.values` extracts the values in the data frame as a matrix. The `.T` takes the transpose of the matrix (swaps rows and columns)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following code performs PCA on the dataset. The `expression.values` extracts the values in the data frame as a matrix. The `.T` takes the transpose of the matrix (swaps rows and columns)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v2+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v2.4.3.json",
       "config": {
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "values": [
         {
          "Category": "Adult Hind Gut",
          "Dim1": -11.228361981732727,
          "Dim10": 23.172754547704137,
          "Dim2": -34.88922762132846,
          "Dim3": -19.753988340988197,
          "Dim4": -40.200089008760436,
          "Dim5": 17.02443744561246,
          "Dim6": 11.074935985039817,
          "Dim7": 3.975556763890731,
          "Dim8": 20.46786520000465,
          "Dim9": 5.949306428694947,
          "Sample": "Adult Hind Gut biological rep1"
         },
         {
          "Category": "Adult Hind Gut",
          "Dim1": -14.177070157089327,
          "Dim10": 24.93151515666238,
          "Dim2": -37.32505371647107,
          "Dim3": -17.803125564075216,
          "Dim4": -38.12346627268457,
          "Dim5": 16.581234544008264,
          "Dim6": 8.415538105895358,
          "Dim7": 7.317422149005932,
          "Dim8": 24.6697242581094,
          "Dim9": 2.34506287545852,
          "Sample": "Adult Hind Gut biological rep2"
         },
         {
          "Category": "Adult Hind Gut",
          "Dim1": -16.987171329863187,
          "Dim10": 27.726090026854926,
          "Dim2": -39.53154760542843,
          "Dim3": -17.27286923307804,
          "Dim4": -37.2022854846048,
          "Dim5": 16.40781457737303,
          "Dim6": 4.817019628650158,
          "Dim7": 9.590129804874774,
          "Dim8": 26.27158508244148,
          "Dim9": 0.4464475659468205,
          "Sample": "Adult Hind Gut biological rep3"
         },
         {
          "Category": "Adult Hind Gut",
          "Dim1": -13.417985660704765,
          "Dim10": 24.091889734375968,
          "Dim2": -36.55091286477036,
          "Dim3": -19.967824929747,
          "Dim4": -39.292304747563776,
          "Dim5": 17.591973488577743,
          "Dim6": 10.521490890675965,
          "Dim7": 5.466660086859009,
          "Dim8": 22.58277179982689,
          "Dim9": 4.987431354451286,
          "Sample": "Adult Hind Gut biological rep4"
         },
         {
          "Category": "Adult Mid Gut",
          "Dim1": 31.10002723554492,
          "Dim10": 14.982242495259015,
          "Dim2": -70.91442085705587,
          "Dim3": -2.337186027756841,
          "Dim4": -67.50566018104897,
          "Dim5": -34.03150682890291,
          "Dim6": 32.37332307808061,
          "Dim7": 35.74685684043897,
          "Dim8": -25.844436322532285,
          "Dim9": 11.243078139557067,
          "Sample": "Adult Mid Gut biological rep1"
         },
         {
          "Category": "Adult Mid Gut",
          "Dim1": 28.39257111524869,
          "Dim10": 16.212172274402114,
          "Dim2": -73.56563644218414,
          "Dim3": 1.661912455770205,
          "Dim4": -64.95846734633959,
          "Dim5": -33.314958740122556,
          "Dim6": 31.290247540172917,
          "Dim7": 38.468039930051084,
          "Dim8": -22.545072025717403,
          "Dim9": 8.190753851780752,
          "Sample": "Adult Mid Gut biological rep2"
         },
         {
          "Category": "Adult Mid Gut",
          "Dim1": 27.798628011266985,
          "Dim10": 19.170211515981602,
          "Dim2": -75.77213518441535,
          "Dim3": 0.8141906141341372,
          "Dim4": -64.28910257329414,
          "Dim5": -34.12872225657376,
          "Dim6": 30.87141077894174,
          "Dim7": 41.09994727536734,
          "Dim8": -22.737413457340644,
          "Dim9": 8.17174173779252,
          "Sample": "Adult Mid Gut biological rep3"
         },
         {
          "Category": "Adult Mid Gut",
          "Dim1": 28.76125603737919,
          "Dim10": 18.731913955260122,
          "Dim2": -76.40119511132086,
          "Dim3": -0.7077990927793212,
          "Dim4": -65.64469378595429,
          "Dim5": -35.032791322376625,
          "Dim6": 30.322300874928334,
          "Dim7": 40.724467432967145,
          "Dim8": -20.317830316099283,
          "Dim9": 7.303018153671394,
          "Sample": "Adult Mid Gut biological rep4"
         },
         {
          "Category": "Adult Accessory gland",
          "Dim1": 13.531261315905619,
          "Dim10": -30.41157624381765,
          "Dim2": -4.239418979706259,
          "Dim3": 27.867723974074817,
          "Dim4": 13.137108368641199,
          "Dim5": 49.17080655134258,
          "Dim6": 92.25207439420234,
          "Dim7": -18.288329001159376,
          "Dim8": -23.741482245591985,
          "Dim9": -49.11126472604172,
          "Sample": "Adult Accessory gland biological rep1"
         },
         {
          "Category": "Adult Accessory gland",
          "Dim1": 14.210246626272598,
          "Dim10": -30.418163208625607,
          "Dim2": -5.002281461326441,
          "Dim3": 30.56223338610649,
          "Dim4": 14.300819681345608,
          "Dim5": 49.674882270198154,
          "Dim6": 92.23795941235186,
          "Dim7": -16.737356491968292,
          "Dim8": -22.82986563432122,
          "Dim9": -49.28405636636315,
          "Sample": "Adult Accessory gland biological rep2"
         },
         {
          "Category": "Adult Accessory gland",
          "Dim1": 9.768083362493352,
          "Dim10": -28.884743369429113,
          "Dim2": -8.422645413924402,
          "Dim3": 31.903729715643077,
          "Dim4": 17.17080610843786,
          "Dim5": 51.76974329297689,
          "Dim6": 90.17408209801488,
          "Dim7": -13.779147806431316,
          "Dim8": -21.489114160932456,
          "Dim9": -53.702763243367464,
          "Sample": "Adult Accessory gland biological rep3"
         },
         {
          "Category": "Adult Accessory gland",
          "Dim1": 12.006261851917332,
          "Dim10": -28.344584707053237,
          "Dim2": -3.980309786507966,
          "Dim3": 29.037255458621388,
          "Dim4": 16.721892704013758,
          "Dim5": 49.45070753475391,
          "Dim6": 92.52194910985577,
          "Dim7": -17.649026923593183,
          "Dim8": -25.84204104709878,
          "Dim9": -48.471108174020586,
          "Sample": "Adult Accessory gland biological rep4"
         },
         {
          "Category": "Adult Brain",
          "Dim1": -74.48354137580735,
          "Dim10": 7.377382064851405,
          "Dim2": 75.02531046578395,
          "Dim3": 68.41888979986646,
          "Dim4": -27.751451024067883,
          "Dim5": -49.26324227781554,
          "Dim6": 7.073140942427096,
          "Dim7": -10.075244429735893,
          "Dim8": -8.584771719911815,
          "Dim9": -3.6472541144810497,
          "Sample": "Adult Brain biological rep1"
         },
         {
          "Category": "Adult Brain",
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         {
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         {
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         {
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         {
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         {
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        "tooltip": {
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        "y": {
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",
      "text/plain": [
       "<VegaLite 2 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pca = PCA(n_components=10)\n",
    "expression_pca = pca.fit(log_expression.values.T).transform(log_expression.values.T)\n",
    "plot_two_dimensions(expression_pca, sample_categories)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This code prints out the variance explained by component."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 0.13853166  0.10866708  0.10150852  0.07383439  0.05613647  0.04950169\n",
      "  0.03739871  0.03404214  0.02695133  0.02477288]\n"
     ]
    }
   ],
   "source": [
    "print(pca.explained_variance_ratio_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This code makes a plot of the explained variance by component, like we saw on one of the lecture slides."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'variance explained')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot([x + 1 for x in range(len(pca.explained_variance_ratio_))], pca.explained_variance_ratio_, 'o-')\n",
    "plt.xlabel(\"principal component\")\n",
    "plt.ylabel(\"variance explained\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Exercise:**\n",
    "\n",
    "Re-run the PCA with a higher number of dimensions and see how the plot of variance explained changes. How many components do you think are worth keeping if you were going to do this analysis?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Exercise:**\n",
    "\n",
    "Try creating an MDS plot using `MDS()`, which we imported from `sklearn.manifold`. All scikit-learn models use a consistent syntax, so the syntax is extremely similar to that for `PCA()`.\n",
    "\n",
    "Examine the documentation either online or just using `help(MDS)` in the notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v2+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v2.4.3.json",
       "config": {
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "values": [
         {
          "Category": "Adult Hind Gut",
          "Dim1": 31.37837172094024,
          "Dim2": 73.5775034511994,
          "Sample": "Adult Hind Gut biological rep1"
         },
         {
          "Category": "Adult Hind Gut",
          "Dim1": 30.49208457848546,
          "Dim2": 82.2627075829262,
          "Sample": "Adult Hind Gut biological rep2"
         },
         {
          "Category": "Adult Hind Gut",
          "Dim1": 36.013431008174294,
          "Dim2": 80.18559818068334,
          "Sample": "Adult Hind Gut biological rep3"
         },
         {
          "Category": "Adult Hind Gut",
          "Dim1": 24.024830552762964,
          "Dim2": 84.89915697017155,
          "Sample": "Adult Hind Gut biological rep4"
         },
         {
          "Category": "Adult Mid Gut",
          "Dim1": 89.31631985145928,
          "Dim2": 127.26466140690988,
          "Sample": "Adult Mid Gut biological rep1"
         },
         {
          "Category": "Adult Mid Gut",
          "Dim1": 97.00979108070538,
          "Dim2": 118.20252892659632,
          "Sample": "Adult Mid Gut biological rep2"
         },
         {
          "Category": "Adult Mid Gut",
          "Dim1": 96.22467522347546,
          "Dim2": 127.7071454183629,
          "Sample": "Adult Mid Gut biological rep3"
         },
         {
          "Category": "Adult Mid Gut",
          "Dim1": 102.19940142785495,
          "Dim2": 123.85176507235332,
          "Sample": "Adult Mid Gut biological rep4"
         },
         {
          "Category": "Adult Accessory gland",
          "Dim1": 82.13035499996349,
          "Dim2": -120.20071023328225,
          "Sample": "Adult Accessory gland biological rep1"
         },
         {
          "Category": "Adult Accessory gland",
          "Dim1": 90.15697097828253,
          "Dim2": -121.53096441367764,
          "Sample": "Adult Accessory gland biological rep2"
         },
         {
          "Category": "Adult Accessory gland",
          "Dim1": 97.11086934474328,
          "Dim2": -114.98017043467831,
          "Sample": "Adult Accessory gland biological rep3"
         },
         {
          "Category": "Adult Accessory gland",
          "Dim1": 75.81737608393559,
          "Dim2": -125.99923130311063,
          "Sample": "Adult Accessory gland biological rep4"
         },
         {
          "Category": "Adult Brain",
          "Dim1": -151.62635111181422,
          "Dim2": -71.36594589283085,
          "Sample": "Adult Brain biological rep1"
         },
         {
          "Category": "Adult Brain",
          "Dim1": -150.14190434246365,
          "Dim2": -62.859349716395556,
          "Sample": "Adult Brain biological rep2"
         },
         {
          "Category": "Adult Brain",
          "Dim1": -142.90687065094292,
          "Dim2": -78.51987718729626,
          "Sample": "Adult Brain biological rep3"
         },
         {
          "Category": "Adult Brain",
          "Dim1": -134.9272664350099,
          "Dim2": -85.18186157914619,
          "Sample": "Adult Brain biological rep4"
         },
         {
          "Category": "Adult Crop",
          "Dim1": 9.910987394487178,
          "Dim2": 58.569783296821306,
          "Sample": "Adult Crop biological rep1"
         },
         {
          "Category": "Adult Crop",
          "Dim1": 21.498948034926652,
          "Dim2": 29.263809920700442,
          "Sample": "Adult Crop biological rep2"
         },
         {
          "Category": "Adult Crop",
          "Dim1": 17.634851839391075,
          "Dim2": 18.47889565982593,
          "Sample": "Adult Crop biological rep3"
         },
         {
          "Category": "Adult Crop",
          "Dim1": 13.216344655572254,
          "Dim2": 40.742300874636875,
          "Sample": "Adult Crop biological rep4"
         },
         {
          "Category": "Larval Wandering fat body",
          "Dim1": 10.250854085644493,
          "Dim2": 138.37116146454937,
          "Sample": "Larval Wandering fat body biological rep1"
         },
         {
          "Category": "Larval Wandering fat body",
          "Dim1": -0.7454792061543384,
          "Dim2": -183.63027858171156,
          "Sample": "Larval Wandering fat body biological rep2"
         },
         {
          "Category": "Larval Wandering fat body",
          "Dim1": 14.798155225945955,
          "Dim2": -149.88305032104685,
          "Sample": "Larval Wandering fat body biological rep3"
         },
         {
          "Category": "Larval Wandering fat body",
          "Dim1": 2.8543885977393746,
          "Dim2": -142.1598725622448,
          "Sample": "Larval Wandering fat body biological rep4"
         },
         {
          "Category": "Adult Head",
          "Dim1": -128.88002598911888,
          "Dim2": 24.278943019562668,
          "Sample": "Adult Head biological rep1"
         },
         {
          "Category": "Adult Head",
          "Dim1": -135.6379612252516,
          "Dim2": 31.09928457479892,
          "Sample": "Adult Head biological rep2"
         },
         {
          "Category": "Adult Head",
          "Dim1": -131.3754916023742,
          "Dim2": 35.12602742087065,
          "Sample": "Adult Head biological rep3"
         },
         {
          "Category": "Adult Head",
          "Dim1": -128.9323343181927,
          "Dim2": 17.21324559480544,
          "Sample": "Adult Head biological rep4"
         },
         {
          "Category": "Larvae Wandering Tubules",
          "Dim1": 137.60766371929105,
          "Dim2": 30.911342045871184,
          "Sample": "Larvae Wandering Tubules biological rep1"
         },
         {
          "Category": "Larvae Wandering Tubules",
          "Dim1": 128.449528964949,
          "Dim2": 26.964304537305765,
          "Sample": "Larvae Wandering Tubules biological rep2"
         },
         {
          "Category": "Larvae Wandering Tubules",
          "Dim1": 131.63033533898852,
          "Dim2": 21.407772172832534,
          "Sample": "Larvae Wandering Tubules biological rep3"
         },
         {
          "Category": "Larvae Wandering Tubules",
          "Dim1": 123.61828012874297,
          "Dim2": 31.937111920354095,
          "Sample": "Larvae Wandering Tubules biological rep4"
         },
         {
          "Category": "Adult Ovary",
          "Dim1": 156.57929052191088,
          "Dim2": -74.83529031868429,
          "Sample": "Adult Ovary biological rep1"
         },
         {
          "Category": "Adult Ovary",
          "Dim1": 148.90359469626625,
          "Dim2": -86.03676961736143,
          "Sample": "Adult Ovary biological rep2"
         },
         {
          "Category": "Adult Ovary",
          "Dim1": 152.9335078387243,
          "Dim2": -81.05576099510118,
          "Sample": "Adult Ovary biological rep3"
         },
         {
          "Category": "Adult Ovary",
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",
      "text/plain": [
       "<VegaLite 2 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "expression_mds = MDS(n_components=2).fit_transform(log_expression.values.T)\n",
    "plot_two_dimensions(expression_mds, sample_categories)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Exercise:**\n",
    "\n",
    "Try creating a tSNE plot using `TSNE()`, which we imported from `sklearn.manifold`. All scikit-learn models use a consistent syntax, so the syntax is extremely similar to that for `PCA()`.\n",
    "\n",
    "Examine the documentation either online or just using `help(TSNE)` in the notebook.\n",
    "\n",
    "`TSNE()` takes several parameters: the most important is `perplexity`. Lower values of perplexity try hard to preserve local structure at the cost of global structure, and vice versa. From the documentation, what is the default value of `perplexity`? What happens if you redo your plot with it set to a much lower or much higher value?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v2+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v2.4.3.json",
       "config": {
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "values": [
         {
          "Category": "Adult Hind Gut",
          "Dim1": 2.6835484504699707,
          "Dim2": 5.0104546546936035,
          "Sample": "Adult Hind Gut biological rep1"
         },
         {
          "Category": "Adult Hind Gut",
          "Dim1": 2.773500442504883,
          "Dim2": 5.099206447601318,
          "Sample": "Adult Hind Gut biological rep2"
         },
         {
          "Category": "Adult Hind Gut",
          "Dim1": 2.7667765617370605,
          "Dim2": 5.191221237182617,
          "Sample": "Adult Hind Gut biological rep3"
         },
         {
          "Category": "Adult Hind Gut",
          "Dim1": 2.6794261932373047,
          "Dim2": 4.997734069824219,
          "Sample": "Adult Hind Gut biological rep4"
         },
         {
          "Category": "Adult Mid Gut",
          "Dim1": 1.923924446105957,
          "Dim2": 12.803207397460938,
          "Sample": "Adult Mid Gut biological rep1"
         },
         {
          "Category": "Adult Mid Gut",
          "Dim1": 2.356064558029175,
          "Dim2": 12.546233177185059,
          "Sample": "Adult Mid Gut biological rep2"
         },
         {
          "Category": "Adult Mid Gut",
          "Dim1": 2.349299907684326,
          "Dim2": 12.608308792114258,
          "Sample": "Adult Mid Gut biological rep3"
         },
         {
          "Category": "Adult Mid Gut",
          "Dim1": 2.06258225440979,
          "Dim2": 12.829193115234375,
          "Sample": "Adult Mid Gut biological rep4"
         },
         {
          "Category": "Adult Accessory gland",
          "Dim1": -5.931217193603516,
          "Dim2": 8.393757820129395,
          "Sample": "Adult Accessory gland biological rep1"
         },
         {
          "Category": "Adult Accessory gland",
          "Dim1": -5.953755855560303,
          "Dim2": 8.454673767089844,
          "Sample": "Adult Accessory gland biological rep2"
         },
         {
          "Category": "Adult Accessory gland",
          "Dim1": -5.924602508544922,
          "Dim2": 8.455005645751953,
          "Sample": "Adult Accessory gland biological rep3"
         },
         {
          "Category": "Adult Accessory gland",
          "Dim1": -5.948175430297852,
          "Dim2": 8.384730339050293,
          "Sample": "Adult Accessory gland biological rep4"
         },
         {
          "Category": "Adult Brain",
          "Dim1": 1.9876116514205933,
          "Dim2": -10.622322082519531,
          "Sample": "Adult Brain biological rep1"
         },
         {
          "Category": "Adult Brain",
          "Dim1": 2.0671679973602295,
          "Dim2": -10.50747013092041,
          "Sample": "Adult Brain biological rep2"
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          "Sample": "Adult Thoracic Muscle biological rep2"
         },
         {
          "Category": "Adult Thoracic Muscle",
          "Dim1": 6.828639984130859,
          "Dim2": -1.487742304801941,
          "Sample": "Adult Thoracic Muscle biological rep3"
         },
         {
          "Category": "Adult Thoracic Muscle",
          "Dim1": -0.9132524132728577,
          "Dim2": 1.9474387168884277,
          "Sample": "Adult Thoracic Muscle biological rep4"
         },
         {
          "Category": "Adult Wings",
          "Dim1": 4.360171794891357,
          "Dim2": -3.747934103012085,
          "Sample": "Adult Wings biological rep1"
         },
         {
          "Category": "Adult Wings",
          "Dim1": 4.286106586456299,
          "Dim2": -3.40818190574646,
          "Sample": "Adult Wings biological rep2"
         },
         {
          "Category": "Adult Wings",
          "Dim1": 4.426225185394287,
          "Dim2": -3.7014400959014893,
          "Sample": "Adult Wings biological rep3"
         },
         {
          "Category": "Adult Wings",
          "Dim1": 4.451622486114502,
          "Dim2": -3.74507212638855,
          "Sample": "Adult Wings biological rep4"
         },
         {
          "Category": "Adult Female Spermatheca Mated (REDONE)",
          "Dim1": 0.06602677702903748,
          "Dim2": 1.2848511934280396,
          "Sample": "Adult Female Spermatheca Mated (REDONE) biological rep1"
         },
         {
          "Category": "Adult Female Spermatheca Mated (REDONE)",
          "Dim1": 6.848808765411377,
          "Dim2": -1.1483806371688843,
          "Sample": "Adult Female Spermatheca Mated (REDONE) biological rep2"
         },
         {
          "Category": "Adult Female Spermatheca Mated (REDONE)",
          "Dim1": -0.19503116607666016,
          "Dim2": 1.8674126863479614,
          "Sample": "Adult Female Spermatheca Mated (REDONE) biological rep3"
         },
         {
          "Category": "Adult Female Spermatheca Mated (REDONE)",
          "Dim1": -0.5770009756088257,
          "Dim2": 1.8377541303634644,
          "Sample": "Adult Female Spermatheca Mated (REDONE) biological rep4\"\n"
         }
        ]
       },
       "encoding": {
        "color": {
         "field": "Category",
         "type": "nominal"
        },
        "tooltip": {
         "field": "Sample",
         "type": "nominal"
        },
        "x": {
         "field": "Dim1",
         "type": "quantitative"
        },
        "y": {
         "field": "Dim2",
         "type": "quantitative"
        }
       },
       "mark": "circle"
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 2 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "expression_tsne = TSNE(n_components=2).fit_transform(log_expression.values.T)\n",
    "plot_two_dimensions(expression_tsne, sample_categories)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Exercise:**\n",
    "\n",
    "Try creating a UMAP plot using `UMAP()`, which we imported from the `umap` library. `umap` is not part of scikit-learn, but it deliberately uses a similar syntax.\n",
    "\n",
    "Examine the documentation either online or just using `help(UMAP)` in the notebook.\n",
    "\n",
    "Look at the available parameters in the documentation. Try varying `n_neighbours` (which has a conceptual similarity to tSNE's `perplexity`) and `min_dist`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v2+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v2.4.3.json",
       "config": {
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "values": [
         {
          "Category": "Adult Hind Gut",
          "Dim1": 4.251052695527246,
          "Dim2": -5.124262278707005,
          "Sample": "Adult Hind Gut biological rep1"
         },
         {
          "Category": "Adult Hind Gut",
          "Dim1": 4.404432885917284,
          "Dim2": -5.206144608688266,
          "Sample": "Adult Hind Gut biological rep2"
         },
         {
          "Category": "Adult Hind Gut",
          "Dim1": 4.224611381011603,
          "Dim2": -5.341131880464301,
          "Sample": "Adult Hind Gut biological rep3"
         },
         {
          "Category": "Adult Hind Gut",
          "Dim1": 4.325601070076752,
          "Dim2": -5.219054456010841,
          "Sample": "Adult Hind Gut biological rep4"
         },
         {
          "Category": "Adult Mid Gut",
          "Dim1": 12.666721394877724,
          "Dim2": -11.753833181297006,
          "Sample": "Adult Mid Gut biological rep1"
         },
         {
          "Category": "Adult Mid Gut",
          "Dim1": 12.63942002872228,
          "Dim2": -11.72653174572723,
          "Sample": "Adult Mid Gut biological rep2"
         },
         {
          "Category": "Adult Mid Gut",
          "Dim1": 12.530282250859422,
          "Dim2": -11.617419706089182,
          "Sample": "Adult Mid Gut biological rep3"
         },
         {
          "Category": "Adult Mid Gut",
          "Dim1": 12.520400815766983,
          "Dim2": -11.607515732374148,
          "Sample": "Adult Mid Gut biological rep4"
         },
         {
          "Category": "Adult Accessory gland",
          "Dim1": 3.509926033208125,
          "Dim2": 0.45049367388987044,
          "Sample": "Adult Accessory gland biological rep1"
         },
         {
          "Category": "Adult Accessory gland",
          "Dim1": 3.585956429653275,
          "Dim2": 0.40502234093483,
          "Sample": "Adult Accessory gland biological rep2"
         },
         {
          "Category": "Adult Accessory gland",
          "Dim1": 3.5925503378350547,
          "Dim2": 0.44899601531524086,
          "Sample": "Adult Accessory gland biological rep3"
         },
         {
          "Category": "Adult Accessory gland",
          "Dim1": 3.5205808530203164,
          "Dim2": 0.49326081635562086,
          "Sample": "Adult Accessory gland biological rep4"
         },
         {
          "Category": "Adult Brain",
          "Dim1": 0.31077223601056236,
          "Dim2": -42.09581167559741,
          "Sample": "Adult Brain biological rep1"
         },
         {
          "Category": "Adult Brain",
          "Dim1": 0.3243895430802319,
          "Dim2": -42.061021130696815,
          "Sample": "Adult Brain biological rep2"
         },
         {
          "Category": "Adult Brain",
          "Dim1": 0.41127858838321424,
          "Dim2": -41.87985677085709,
          "Sample": "Adult Brain biological rep3"
         },
         {
          "Category": "Adult Brain",
          "Dim1": 0.33615773003576194,
          "Dim2": -42.04691659099699,
          "Sample": "Adult Brain biological rep4"
         },
         {
          "Category": "Adult Crop",
          "Dim1": 3.6350380533204874,
          "Dim2": -4.348241646131297,
          "Sample": "Adult Crop biological rep1"
         },
         {
          "Category": "Adult Crop",
          "Dim1": 3.554820956779155,
          "Dim2": -4.402741480405777,
          "Sample": "Adult Crop biological rep2"
         },
         {
          "Category": "Adult Crop",
          "Dim1": 3.456957044646417,
          "Dim2": -4.493228509752337,
          "Sample": "Adult Crop biological rep3"
         },
         {
          "Category": "Adult Crop",
          "Dim1": 3.5133178044435054,
          "Dim2": -4.456882085522176,
          "Sample": "Adult Crop biological rep4"
         },
         {
          "Category": "Larval Wandering fat body",
          "Dim1": -0.8569964953338632,
          "Dim2": 9.126860597886516,
          "Sample": "Larval Wandering fat body biological rep1"
         },
         {
          "Category": "Larval Wandering fat body",
          "Dim1": -0.5174374422414771,
          "Dim2": 8.810671559605709,
          "Sample": "Larval Wandering fat body biological rep2"
         },
         {
          "Category": "Larval Wandering fat body",
          "Dim1": -0.6427198360124114,
          "Dim2": 8.935970466814041,
          "Sample": "Larval Wandering fat body biological rep3"
         },
         {
          "Category": "Larval Wandering fat body",
          "Dim1": -0.787580770697935,
          "Dim2": 9.062187477935646,
          "Sample": "Larval Wandering fat body biological rep4"
         },
         {
          "Category": "Adult Head",
          "Dim1": -0.8155825468591497,
          "Dim2": 14.320548935118289,
          "Sample": "Adult Head biological rep1"
         },
         {
          "Category": "Adult Head",
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       "encoding": {
        "color": {
         "field": "Category",
         "type": "nominal"
        },
        "tooltip": {
         "field": "Sample",
         "type": "nominal"
        },
        "x": {
         "field": "Dim1",
         "type": "quantitative"
        },
        "y": {
         "field": "Dim2",
         "type": "quantitative"
        }
       },
       "mark": "circle"
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 2 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "expression_umap = UMAP(n_components=2, n_neighbors=10).fit_transform(log_expression.values.T)\n",
    "plot_two_dimensions(expression_umap, sample_categories)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}