January 24, 2017

GSAR: Bioconductor package for Gene Set analysis in R

BMC Bioinformatics BMC series | DOI: https://doi.org/10.1186/s12859-017-1482-6

Yasir Rahmatallah, Boris Zybailov, Frank Emmert-Streib, Galina Glazko

Abstract

Gene set analysis (in a form of functionally related genes or pathways) has become the method of choice for analyzing omics data in general and gene expression data in particular. There are many statistical methods that either summarize gene-level statistics for a gene set or apply a multivariate statistic that accounts for intergene correlations. Most available methods detect complex departures from the null hypothesis but lack the ability to identify the specific alternative hypothesis that rejects the null.

Read more: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1482-6