6533b86cfe1ef96bd12c86e5

RESEARCH PRODUCT

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

Luigi AugugliaroAngelo Mineo

subject

Settore SECS-S/01 - StatisticaGaussian graphical models modularity differentially expressed genes.

description

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.

http://hdl.handle.net/10447/53717