AbsFilterGSEA: Improved False Positive Control of Gene-Permuting GSEA with Absolute Filtering
Version 1.5.1

Gene-set enrichment analysis (GSEA) is popularly used to assess the enrichment of differential signal in a pre-defined gene-set without using a cutoff threshold for differential expression. The significance of enrichment is evaluated through sample- or gene-permutation method. Although the sample-permutation approach is highly recommended due to its good false positive control, we must use gene-permuting method if the number of samples is small. However, such gene-permuting GSEA (or preranked GSEA) generates a lot of false positive gene-sets as the inter-gene correlation in each gene set increases. These false positives can be successfully reduced by filtering with the one-tailed absolute GSEA results. This package provides a function that performs gene-permuting GSEA calculation with or without the absolute filtering. Without filtering, users can perform (original) two-tailed or one-tailed absolute GSEA.

Getting started

Package details

AuthorSora Yoon <yoonsora@unist.ac.kr>
Date of publication2017-09-21 13:39:52 UTC
MaintainerSora Yoon <yoonsora@unist.ac.kr>
LicenseGPL-2
Version1.5.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("AbsFilterGSEA")

Try the AbsFilterGSEA package in your browser

Any scripts or data that you put into this service are public.

AbsFilterGSEA documentation built on Sept. 21, 2017, 5:04 p.m.