AbsFilterGSEA (1.5)

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Improved False Positive Control of Gene-Permuting GSEA with Absolute Filtering.

http://rpubs.com/yoonsora/166897
http://cran.r-project.org/web/packages/AbsFilterGSEA

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.

Maintainer: Sora Yoon
Author(s): Sora Yoon <yoonsora@unist.ac.kr>

License: GPL-2

Uses: Rcpp, testthat

Released 7 months ago.


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