oraFromStats: Over representation analysis from statistical results

In martingarridorc/biokit: Toolkit for the automatic analysis of omics data

Description

Performs an over-representation analysis from a data frame containing the results of the statistical analysis of omic data. Uses the annotation column to split the features and perform the over-representation analysis.

Usage

oraFromStats(
  df,
  funCatList,
  statusCol,
  noChangeLabel = "No change",
  featCol = "feature",
  ...
)

Arguments

df	Data frame with results to analyze.
funCatList	A list of character vectors with the functional categories to analyze.
statusCol	Column containing the annotation of features.
noChangeLabel	Label used to indicate not changing features. Rows with a statusCol value equal to this will be removed.
featCol	Column containing the feature to submit for the over-representation analysis (i.e gene symbol).
...	Other parameters passed to overRepresentationAnalysis.

Value

A tidy data frame with the results.

martingarridorc/biokit documentation built on June 28, 2021, 12:24 a.m.