Genetic Network construction in CML gene expression profile data analysis

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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. A central module is defined as a module of a GGM which contains genes that are defined differentially expressed.
Lingua originaleEnglish
Pagine323-326
Numero di pagine4
Stato di pubblicazionePublished - 2009

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Gene Expression
Genes
Imatinib Mesylate

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title = "Genetic Network construction in CML gene expression profile data analysis",
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. A central module is defined as a module of a GGM which contains genes that are defined differentially expressed.",
keywords = "Gaussian graphical models, differentially expressed genes., modularity",
author = "Angelo Mineo and Luigi Augugliaro",
year = "2009",
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AU - Mineo, Angelo

AU - Augugliaro, Luigi

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AB - 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. A central module is defined as a module of a GGM which contains genes that are defined differentially expressed.

KW - Gaussian graphical models

KW - differentially expressed genes.

KW - modularity

UR - http://hdl.handle.net/10447/44266

M3 - Other

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EP - 326

ER -