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

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  • Luigi Augugliaro
  • Angelo Mineo

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.

Suggested Citation

  • Luigi Augugliaro & Angelo Mineo, 2009. "Identifying modularity structure of a genetic network in gene expression profile data," Statistica, Department of Statistics, University of Bologna, vol. 69(2), pages 187-200.
    • Handle: RePEc:bot:rivsta:v:69:y:2009:i:2:p:187-200
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