Gene filtering with optimal threshold selection

JOSEP BAU-MACIA; JORDI SOLE-CASALS; CESAR F CAIAFA; SERGIO LEW

Barcelona

Congreso; Barcelona Advances in Statistics BAS 2012; 2012

Universidad Autonoma de Barcelona

Gene filtering is a useful preprocessing technique often applied to microarray datasets. However, it is no common practice because clear guidelines are lacking and it bears the risk of excluding some potentially relevant genes. In this work, we propose to model microarray data as a mixture of two Gaussian distributions that will allow us to obtain an optimal filter threshold in terms of the gene expression level.