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Multiple sources of bias confound functional enrichment analysis of global -omics data
James A Timmons1, Krzysztof J Szkop2, Iain J Gallagher3
1Division of Genetics and Molecular Medicine, King's College London, Guy's Hospital, Great Maze Pond, London, SE1 9RT, UK. james.timmons@kcl.ac.uk.
Genome Biology
|September 9, 2015
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.
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