The aim of this study is to determine differentially expressed genes between two conditions in microarray experiments. We propose a method based on estimating variance in order to estimate the number of non-zero components of a random vector. The theoretical properties of this method are proved. The main interest in this powerful method is its easy implementation. A simulation study comparing this approach with other methods (one based on the penalization of a least squares criterion, another on the control of false discovery rate and the last based on mixture model) is presented and results are discussed. Finally, we apply the method developed on real data to detect differentially expressed genes between two bovine gestation modes (artificial insemination and in vitro fertilization).

M. Duval, S. Degrelle, C. Delmas, I. Hue, B. Laurent, C. Robert-Granie

Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume , , 23.02, 2006
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