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Appears in Collections:Faculty of Health Sciences and Sport Journal Articles
Peer Review Status: Refereed
Title: Multiple sources of bias confound functional enrichment analysis of global -omics data
Author(s): Timmons, James A
Szkop, Krzysztof J
Gallagher, Iain J
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Issue Date: Sep-2015
Date Deposited: 20-Nov-2015
Citation: Timmons JA, Szkop KJ & Gallagher IJ (2015) Multiple sources of bias confound functional enrichment analysis of global -omics data. Genome Biology, 16 (1), Art. No.: 186.
Abstract: Serious and underappreciated sources of bias mean that extreme caution should be applied when using or interpreting functional enrichment analysis to validate findings from global RNA- or protein-expression analyses.
DOI Link: 10.1186/s13059-015-0761-7
Rights: © 2015 Timmons et al. Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.
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