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Game Theory applied to gene expression analysis

Content Provider	Springer Nature Link
Author	Moretti, Stefa
Copyright Year	2008
Abstract	This is a summary of the author’s Ph.D. thesis supervised by Fioravante Patrone and Stefano Bonassi and defended on 25 May 2006 at the Università degli Studi di Genova. The thesis in written in English and a copy is available from the author upon request. This work deals with the discussion and the application of a methodology based on Game Theory for the analysis of gene expression data. Nowadays, microarray technology is available for taking “pictures” of gene expressions. Within a single experiment of this sophisticated technology, the level of expression of thousands of genes can be estimated in a sample of cells under given conditions. Roughly speaking, the starting point is the observation of a “picture” of gene expressions in a sample of cells under a biological condition of interest, for example a tumor. Then, Game Theory plays a primary role to quantitatively evaluate the relevance of each gene in regulating or provoking the condition of interest, taking into account the observed relationships in all subgroups of genes.
Starting Page	195
Ending Page	198
Page Count	4
File Format	PDF
ISSN	16194500
Journal	4OR
Volume Number	7
Issue Number	2
e-ISSN	16142411
Language	English
Publisher	Springer-Verlag
Publisher Date	2008-08-26
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Coalitional game Shapley value Power index Gene expression Microarray Industrial and Production Engineering Optimization Operations Research/Decision Theory
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Management Science and Operations Research Management Information Systems Computational Theory and Mathematics

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