Using GOstats to test gene lists for GO term association

被引：1503

作者：

Falcon, S. ^{[1
]}

Gentleman, R. ^{[1
]}

机构：

[1] Fred Hutchinson Canc Res Ctr, Program Computat Biol, Seattle, WA 98109 USA

来源：

BIOINFORMATICS | 2007年 / 23卷 / 02期

关键词：

D O I：

10.1093/bioinformatics/btl567

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Motivation: Functional analyses based on the association of Gene Ontology (GO) terms to genes in a selected gene list are useful bioinformatic tools and the GOstats package has been widely used to perform such computations. In this paper we report significant improvements and extensions such as support for conditional testing. Results: We discuss the capabilities of GOstats, a Bioconductor package written in R, that allows users to test GO terms for over or under-representation using either a classical hypergeometric test or a conditional hypergeometric that uses the relationships among GO terms to decorrelate the results.

引用

页码：257 / 258

页数：2

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