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

Luigi Augugliaro and Angelo Mineo

Statistica, 2009, vol. 69, issue 2, 187-200

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.

Date: 2009
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bot:rivsta:v:69:y:2009:i:2:p:187-200

Access Statistics for this article

Statistica is currently edited by Department of Statistics, University of Bologna

More articles in Statistica from Department of Statistics, University of Bologna Contact information at EDIRC.
Bibliographic data for series maintained by Giovanna Galatà ().