Game Theory applied to gene expression analysis

Moretti, Stefano

Moretti, Stefano (2009), Game Theory applied to gene expression analysis, 4OR, 7, 2, p. 195-198. http://dx.doi.org/10.1007/s10288-008-0073-9

View/Open

game_applied.PDF (932.5Kb)

Type

Article accepté pour publication ou publié

Date

2009

Journal name

4OR

Volume

Number

Publisher

Springer

Pages

195-198

Abstract (EN)

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.

Subjects / Keywords

Coalitional game; Shapley value; Power index; Gene expression; Microarray

JEL

C7 - Game Theory and Bargaining Theory