rankFeatures: Pre-rank features prior to calculating enrichment scores.

In multiGSEA: Combining GSEA-based pathway enrichment with multi omics data integration

Description

Rank features based on the direction of their fold change and their magnitude implicated through their assigned p-value.

Usage

rankFeatures(logFC, pvalues, base = 10)

Arguments

logFC	Vector containing the log-transformed fold changes of features.
pvalues	Vector containing the p-values associated with those logFCs.
base	Integer specifying the base of the logarithm. Default: 10

Value

Vector of pre-ranked features, still unsorted

Examples

logFC <- rnorm(10)
pvalues <- runif(10)
rankFeatures(logFC, pvalues)

multiGSEA documentation built on Nov. 8, 2020, 8:15 p.m.