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

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 in...

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Main Authors:	Luigi Augugliaro, Angelo M. Mineo
Format:	Article
Language:	English
Published:	University of Bologna 2013-05-01
Series:	Statistica
Subjects:	Gaussian graphical models modularity differentially expressed genes
Online Access:	http://rivista-statistica.unibo.it/article/view/4345

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spelling	doaj-5520fa6e1cc64db58f6b5ddd4f2a47212020-11-24T23:11:59ZengUniversity of BolognaStatistica0390-590X1973-22012013-05-01692/318720010.6092/issn.1973-2201/43454007Identifying modularity structure of a genetic network in gene expression profile dataLuigi Augugliaro0Angelo M. Mineo1Università degli Studi di PalermoUniversità degli Studi di PalermoAim 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.http://rivista-statistica.unibo.it/article/view/4345Gaussian graphical modelsmodularitydifferentially expressed genes
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Luigi Augugliaro Angelo M. Mineo
spellingShingle	Luigi Augugliaro Angelo M. Mineo Identifying modularity structure of a genetic network in gene expression profile data Statistica Gaussian graphical models modularity differentially expressed genes
author_facet	Luigi Augugliaro Angelo M. Mineo
author_sort	Luigi Augugliaro
title	Identifying modularity structure of a genetic network in gene expression profile data
title_short	Identifying modularity structure of a genetic network in gene expression profile data
title_full	Identifying modularity structure of a genetic network in gene expression profile data
title_fullStr	Identifying modularity structure of a genetic network in gene expression profile data
title_full_unstemmed	Identifying modularity structure of a genetic network in gene expression profile data
title_sort	identifying modularity structure of a genetic network in gene expression profile data
publisher	University of Bologna
series	Statistica
issn	0390-590X 1973-2201
publishDate	2013-05-01
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. 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.
topic	Gaussian graphical models modularity differentially expressed genes
url	http://rivista-statistica.unibo.it/article/view/4345
work_keys_str_mv	AT luigiaugugliaro identifyingmodularitystructureofageneticnetworkingeneexpressionprofiledata AT angelommineo identifyingmodularitystructureofageneticnetworkingeneexpressionprofiledata
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Identifying modularity structure of a genetic network in gene expression profile data

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