Identifying modularity structure of a genetic network in gene expression profile data

Abstract

Aim of this paper is to define a new statistical framework to identify central modules in Gaussian Graphical Models (GGMs) estimated by gene expression data measured on a sample of patients with negative molecular response to Imatinib. Imatinib is a drug used to treat certain types of cancer that inmany medical studies has been reported to have a significant clinic effect on chronic myeloid leukemia (CML) in chronic phase as well as in blast crisis. For centralmodule in a GGM we intend a module containing genes that are defined differentially expressed.

Keywords

• Gaussian graphical models
• modularity
• differentially expressed genes