|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
|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. https://doi.org/10.1186/s13059-015-0761-7|
|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.|
|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.|
|Timmons et al_Genome Biology_2015.pdf||Fulltext - Published Version||342.38 kB||Adobe PDF||View/Open|
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