Curbing false discovery rates in interpretation of genome-wide expression profiles - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of Biomedical Informatics Année : 2014

Curbing false discovery rates in interpretation of genome-wide expression profiles

Résumé

Fisher's exact test is widely used in biomedical research, particularly in genomic profile analysis. Since in most databases, the frequency distribution of genes is right skewed, we show here that its use can lead to excessive false-positive discoveries. We propose to apply Zelen's exact test on a stratification of the gene set; this solves the false discovery problem, and should avoid misleading interpretations of lists of genes produced by various genome-wide analysis technologies.

Dates et versions

hal-00864891 , version 1 (23-09-2013)

Identifiants

Citer

Bernard Ycart, Frédéric Pont, Jean-Jacques Fournié. Curbing false discovery rates in interpretation of genome-wide expression profiles. Journal of Biomedical Informatics, 2014, 47, pp.58-61. ⟨10.1016/j.jbi.2013.09.004⟩. ⟨hal-00864891⟩
86 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More