An Independent Filter for Gene Set Testing Based on Spectral Enrichment.

ABSTRACT: Gene set testing has become an indispensable tool for the analysis of high-dimensional genomic data. An important motivation for testing gene sets, rather than individual genomic variables, is to improve statistical power by reducing the number of tested hypotheses. Given the dramatic growth in common gene set collections, however, testing is often performed with nearly as many gene sets as underlying genomic variables. To address the challenge to statistical power posed by large gene set collections, we have developed spectral gene set filtering (SGSF), a novel technique for independent filtering of gene set collections prior to gene set testing. The SGSF method uses as a filter statistic the p-value measuring the statistical significance of the association between each gene set and the s

SUBMITTER: Frost HR 

PROVIDER: S-EPMC4666312 | biostudies-literature | 2015 Sep-Oct

REPOSITORIES: biostudies-literature