A novel discretization method for processing digital gene expression profiles

Abstract

Discretization serves as an important preprocessing step for analyzing gene expression data and many algorithms have been proposed. However, most of the discretization methods were designed for microarrays. As a new technology, digital gene expression (DGE) profiles can overcome the limitation of microarrays and were applied in a widely range. In this paper, we proposed a novel discretization method for DGE data and the validations in a time-series gene expression dataset proved the efficiency of our method.