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

Research output: Contribution to journalArticlepeer-review

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. Imanitib is a drug used to treat certain types of cancer that in many statistical studies has been reported to have a significant clinical effect on chronic myeloid leukemia (CML) in chronic phase as well as in blast crisis. For central module in a GGM we intend a module containing genes that are defined differently expressed.
Original languageEnglish
Pages (from-to)187-200
Number of pages14
JournalSTATISTICA
Volume69
Publication statusPublished - 2009

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