Discriminative local subspaces in gene expression data for effective gene function prediction

Abstract

MOTIVATION: Massive amounts of genome-wide gene expression data have become available, motivating the development of computational approaches that leverage this information to predict gene function. Among successful approaches, supervised machine learning