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

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.

Detalles Bibliográficos
Autores principales: Timmons, James A., Szkop, Krzysztof J., Gallagher, Iain J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Comment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4561415/
https://www.ncbi.nlm.nih.gov/pubmed/26346307
http://dx.doi.org/10.1186/s13059-015-0761-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4561415/
https://www.ncbi.nlm.nih.gov/pubmed/26346307
http://dx.doi.org/10.1186/s13059-015-0761-7

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