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Cited by 2,015

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Using GOstats to test gene lists for GO term association

Open access
Falcon, S., Gentleman, R.·2007·Bioinformatics

Abstract

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. Availability: GOstats is available as an R package from the Bioconductor project: Contact: sfalcon@fhcrc.org

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Metadata

Authors
Falcon, S., & Gentleman, R.
Venue
Bioinformatics
Published
2006-11-10
Volume
23
Issue
2
Pages
257-258
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2138255346
Cited by
2,015
References
1
FWCI
13.63
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Using GOstats to test gene lists for GO term association. https://app.cochat.ai/papers/10.1093/bioinformatics/btl567
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Falcon, S., & Gentleman, R. (2007). Using GOstats to test gene lists for GO term association. Bioinformatics. https://doi.org/10.1093/bioinformatics/btl567

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