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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 |
| Author(s): | Timmons, James A Szkop, Krzysztof J Gallagher, Iain J |
| Contact Email: | i.j.gallagher@stir.ac.uk |
| 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. 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. |
| 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 (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. |
| Licence URL(s): | http://creativecommons.org/licenses/by/4.0/ |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| Timmons et al_Genome Biology_2015.pdf | Fulltext - Published Version | 342.38 kB | Adobe PDF | View/Open |
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