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Genome Biol. 2015 Sep 7;16:186. doi: 10.1186/s13059-015-0761-7.

Multiple sources of bias confound functional enrichment analysis of global -omics data.

Author information

1
Division of Genetics and Molecular Medicine, King's College London, Guy's Hospital, Great Maze Pond, London, SE1 9RT, UK. james.timmons@kcl.ac.uk.
2
Division of Genetics and Molecular Medicine, King's College London, Guy's Hospital, Great Maze Pond, London, SE1 9RT, UK.
3
School of Natural Sciences, University of Stirling, Stirling, FK9 4LA, UK.

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.

PMID:
26346307
PMCID:
PMC4561415
DOI:
10.1186/s13059-015-0761-7
[Indexed for MEDLINE]
Free PMC Article

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