Falcon S, Gentleman R
Fred Hutchison Cancer Research Center, Program Computational Biology,1100 Fairview Avenue North P. O. Box 19024, Seattle, WA 98109, USA.
Bioinformatics. 2007 Jan 15;23(2):257-8. doi: 10.1093/bioinformatics/btl567. Epub 2006 Nov 10.
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.
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.
GOstats is available as an R package from the Bioconductor project: http://bioconductor.org
基于基因本体论（GO）术语与选定基因列表中的基因关联进行的功能分析是有用的生物信息学工具，并且GOstats软件包已被广泛用于执行此类计算。在本文中，我们报告了重大改进和扩展，例如对条件测试的支持。
我们讨论了GOstats（一个用R编写的Bioconductor软件包）的功能，该软件包允许用户使用经典超几何检验或使用GO术语之间的关系来使结果去相关的条件超几何检验，来测试GO术语的过表达或低表达情况。
GOstats可作为R软件包从Bioconductor项目获得：http://bioconductor.org
