BlitzGSEA: efficient computation of gene set enrichment analysis through gamma distribution approximation.

ABSTRACT:

Motivation

The identification of pathways and biological processes from differential gene expression is central for interpretation of data collected by transcriptomics assays. Gene set enrichment analysis (GSEA) is the most commonly used algorithm to calculate the significance of the relevancy of an annotated gene set with a differential expression signature. To compute significance, GSEA implements permutation tests which are slow and inaccurate for comparing many differential expression signatures to thousands of annotated gene sets.

Results

Here, we present blitzGSEA, an algorithm that is based on the same running sum statistic as GSEA, but instead of performing permutations, blitzGSEA approximates the enrichment score probabilities based on Gamma distributions. blitzGSEA

SUBMITTER: Lachmann A 

PROVIDER: S-EPMC9004650 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature