Article
Details
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.
Journal
Genome Biology: Volume 16, Issue 1
| Status | Published |
|---|---|
| Publication date | 30/09/2015 |
| Publication date online | 30/09/2015 |
| URL | http://hdl.handle.net/1893/22539 |
| Publisher | BioMed Central |
| ISSN | 1474-760X |
| eISSN | 1465-6906 |