Sample_disease_gene_set

This is data to be included in package

datasets

Automate downstream visualization & pathway analysis in RNAseq analysis. 'RVA' is a collection of functions that efficiently visualize RNAseq differential expression analysis result from summary statistics tables. It also utilize the Fisher's exact test to evaluate gene set or pathway enrichment in a convenient and efficient manner.

Xingpeng Li

RNAseq Visualization Automation

Sample_disease_gene_set function

An example disease gene set from summary statistics table as dataframe, row names are gene ID
the summary statistics can be calculated from disease vs healthy, which is this example.<dl class="dl-horizontal">
<dt>logFC</dt><dd>log2 fold change from comparison</dd>
<dt>AveExpr</dt><dd>Average expression for this gene</dd>
<dt>P.Value</dt><dd>p value</dd>
<dt>adj.P.Val</dt><dd>adjusted p value or FDR</dd>
...
</dl>

Format

This is data to be included in package — Sample_disease_gene_set

An example disease gene set from summary statistics table as dataframe, row names are gene ID
the summary statistics can be calculated from disease vs healthy, which is this example.<dl class='dl-horizontal'>
<dt>logFC</dt><dd>log2 fold change from comparison</dd>
<dt>AveExpr</dt><dd>Average expression for this gene</dd>
<dt>P.Value</dt><dd>p value</dd>
<dt>adj.P.Val</dt><dd>adjusted p value or FDR</dd>
...
</dl>

Sample_disease_gene_set: This is data to be included in package

Description

Usage

Arguments

Format