Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/22539
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
Authors: Timmons, James A
Szkop, Krzysztof J
Gallagher, Iain J
Contact Email: i.j.gallagher@stir.ac.uk
Issue Date: Sep-2015
Publisher: BioMed Central
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.
Type: Journal Article
URI: http://hdl.handle.net/1893/22539
DOI Link: http://dx.doi.org/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 (http://creativecommons.org/licenses/by/4.0/), 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 (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Affiliation: King's College London
King's College London
Sport

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