GSAR: Bioconductor package for Gene Set analysis in R.

ABSTRACT:

Background

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.

Results

GSAR (Gene Set Analysis in R) is an open-source R/Bioconductor software package for gene set analysis (GSA). It implements self-contained multivariate non-parametric statistical methods testing a complex null hypothesis against specific alternatives,

SUBMITTER: Rahmatallah Y 

PROVIDER: S-EPMC5259853 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature