From b315bd0470293b9b08c5ee6e1a65ee7381b4e52c Mon Sep 17 00:00:00 2001 From: zprobot <1727697083@qq.com> Date: Sat, 1 Jun 2024 17:29:15 +0800 Subject: [PATCH] update: benchmark --- benchmarks/README.md | 10 +++------- .../images/missing_peptides_by_sample.png | Bin 0 -> 230115 bytes benchmarks/images/missing_value.png | Bin 201666 -> 0 bytes 3 files changed, 3 insertions(+), 7 deletions(-) create mode 100644 benchmarks/images/missing_peptides_by_sample.png delete mode 100644 benchmarks/images/missing_value.png diff --git a/benchmarks/README.md b/benchmarks/README.md index 90882f5..5be3ffe 100644 --- a/benchmarks/README.md +++ b/benchmarks/README.md @@ -99,12 +99,10 @@ The following boxplot shows the coefficient of variation for the 11 samples for #### LFQ missing values -Number of peptides missing in both experiments. Compared to TMT, LFQ has a lot of missing values. - -#### Todo: @PingZeng please remove the TMT experiment only leave the LFQ experiment. +Number of peptides missing in LFQ experiments.
- +
#### Fold-change detection 3-, 2-, and 1.5-fold. @@ -136,9 +134,7 @@ In this second benchmark, we aim to test how ibaq values computed for different #### Coefficient of Variation (CV) -> **TODO**: @PingZeng can you double-check the description of these sections, PXD016999 is not skin only, and also is not DIA, is TMT. Please review carefully. - -For the DIA experiment of PXD016999, all samples were from **skin** tissue. + For the DIA experiment of PXD016999, our **sdrf** only annotates experimental information from **skin**. We extract the shared proteins from all samples, calculate the coefficient of variation (CV) of these proteins across all samples, and then divide it by the number of proteins to obtain the average CV value.
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