This package implements the network fingerprint framework. A biomedical network is characterized as a spectrum-like vector called “network fingerprint”, which contains similarities to basic networks. This knowledge-based multidimensional characterization provides a more intuitive way to decipher molecular networks, especially for large-scale network comparisons and clustering analyses
Prerequisites
NFP is free available on CRAN. To install NFP, please note especially two depencies of NFP, graph and KEGGgraph are only available from Bioconductor. Appanrantly, function install.packages
can not insall Biocondutor packages. There is a function install
, a wrapper around install.packages
provided by Bioconductor, can be used to install both CRAN and Bioconductor
packages simply. Thus, users can install NFP
install the latest released version directly as flowing:
if (!requireNamespace("BiocManager"))
install.packages("BiocManager")
BiocManager::install("NFP")
or install the Bioconductor dependencies package first:
BiocManager::install(c("graph","KEGGgraph"))
install.packages("NFP")
It also allows users to install the latest development version from github, which requires devtools package has been installed on your system (or can be installed using install.packages("devtools")
). Note that devtools sometimes needs some extra non-R software on your system -- more specifically, an Rtools download for Windows or Xcode for OS X. There's more information about devtools
here.
## install NFP from github, require biocondutor dependencies package pre-installed
if (!require(devtools)
install.packages("devtools")
devtools::install_github("yiluheihei/NFP")
After installation, you can load NFP into current workspace by typing or pasting the following codes:
library("NFP")
Moreover, gene similarity data used in our NFP package is stored in a external data repository NFPdata for the large size (about 16 MB). More details on how to construct External Data Repositories using the Additional_repositories field see The Coatless Professor blog post. Thus, users must install the NFPdata before the networkfinger print analyis as following code.
if (!require("NFPdata")) {
install_data_package()
}
For very simple changes such as fixing typos, you can just edit the file by clicking the button Edit
.
For more complicated changes, you will have to manually create a pull request after forking this repository.
NFP
is a free and open source software, licensed under GPL 2.0.