A procedure based on partial sums of order statistics to detect differentially expressed genes

Mylène Duval (1) , Céline Delmas (1) , Béatrice Laurent (2) , Christèle Robert-Granié (1)

1 SAGA - Station d'Amélioration Génétique des Animaux
2 IMT - Institut de Mathématiques de Toulouse UMR5219

In this paper we propose a new procedure to select differentially expressed genes between several conditions in microarray experiments. Asymptotic properties for the false discovery rate are proved under mild conditions. We compare by simulations and on a pseudo-real data set our procedure to the Benjamini and Hochberg's procedure and a procedure based on mixture models.

Mots clés: Differential expression; Microarray data; Multiple testing procedure; Ordered statistics; Partial sums; Partial sums.

Domaines: Applications [stat.AP]

Mylène Duval, Céline Delmas, Béatrice Laurent, Christèle Robert-Granié. A procedure based on partial sums of order statistics to detect differentially expressed genes. 2007. ⟨hal-00302355⟩