Identifying modularity structure of a genetic network in gene expression profile data
DOI:
https://doi.org/10.6092/issn.1973-2201/4345Keywords:
Gaussian graphical models, modularity, differentially expressed genesAbstract
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.References
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