A game theoretical approach to the classification problem in gene expression data analysis

Vito Fragnelli; Stefano Moretti

doi:10.1016/j.camwa.2006.12.088

A game theoretical approach to the classification problem in gene expression data analysis

Vito Fragnelli, Stefano Moretti

Risultato della ricerca: Contributo su rivista › Articolo in rivista › peer review

Abstract

Microarray technology allows for the evaluation of the level of expression of thousands of genes in a sample of cells under a given condition. In this paper, we introduce a methodology based on cooperative Game Theory for the selection of groups of genes with high power in classifying samples, according to gene expression patterns. The connection between microarray games and classification games is discussed and the use of the Shapley value to measure the power of genes for classification is motivated on particular instances and compared to the interaction index.

Lingua originale	Inglese
pagine (da-a)	950-959
Numero di pagine	10
Rivista	Computers and Mathematics with Applications
Volume	55
Numero di pubblicazione	5
DOI	https://doi.org/10.1016/j.camwa.2006.12.088
Stato di pubblicazione	Pubblicato - mar 2008
Pubblicato esternamente	Sì

Accesso al documento

10.1016/j.camwa.2006.12.088

Altri file e collegamenti

Link to publication in Scopus

Cita questo

@article{6f5d09cd338a4137981c992c2f1ec4e3,

title = "A game theoretical approach to the classification problem in gene expression data analysis",

abstract = "Microarray technology allows for the evaluation of the level of expression of thousands of genes in a sample of cells under a given condition. In this paper, we introduce a methodology based on cooperative Game Theory for the selection of groups of genes with high power in classifying samples, according to gene expression patterns. The connection between microarray games and classification games is discussed and the use of the Shapley value to measure the power of genes for classification is motivated on particular instances and compared to the interaction index.",

keywords = "Classification problem, Cooperative game, Gene expression analysis, Interaction index, Shapley value",

author = "Vito Fragnelli and Stefano Moretti",

note = "Funding Information: The first author gratefully acknowledges the financial support of MIUR, grant PRIN 2005 “Indici per la valutazione della governabilit{\`a} di un parlamento”. The second author gratefully acknowledges the financial support of the EU project NewGeneris, European Union 6th FP (FOOD-CT-2005-016320).",

year = "2008",

month = mar,

doi = "10.1016/j.camwa.2006.12.088",

language = "English",

volume = "55",

pages = "950--959",

journal = "Computers and Mathematics with Applications",

issn = "0898-1221",

publisher = "Elsevier Ltd.",

number = "5",

}

TY - JOUR

T1 - A game theoretical approach to the classification problem in gene expression data analysis

AU - Fragnelli, Vito

AU - Moretti, Stefano

N1 - Funding Information: The first author gratefully acknowledges the financial support of MIUR, grant PRIN 2005 “Indici per la valutazione della governabilità di un parlamento”. The second author gratefully acknowledges the financial support of the EU project NewGeneris, European Union 6th FP (FOOD-CT-2005-016320).

PY - 2008/3

Y1 - 2008/3

N2 - Microarray technology allows for the evaluation of the level of expression of thousands of genes in a sample of cells under a given condition. In this paper, we introduce a methodology based on cooperative Game Theory for the selection of groups of genes with high power in classifying samples, according to gene expression patterns. The connection between microarray games and classification games is discussed and the use of the Shapley value to measure the power of genes for classification is motivated on particular instances and compared to the interaction index.

AB - Microarray technology allows for the evaluation of the level of expression of thousands of genes in a sample of cells under a given condition. In this paper, we introduce a methodology based on cooperative Game Theory for the selection of groups of genes with high power in classifying samples, according to gene expression patterns. The connection between microarray games and classification games is discussed and the use of the Shapley value to measure the power of genes for classification is motivated on particular instances and compared to the interaction index.

KW - Classification problem

KW - Cooperative game

KW - Gene expression analysis

KW - Interaction index

KW - Shapley value

UR - http://www.scopus.com/inward/record.url?scp=38349112371&partnerID=8YFLogxK

U2 - 10.1016/j.camwa.2006.12.088

DO - 10.1016/j.camwa.2006.12.088

M3 - Article

SN - 0898-1221

VL - 55

SP - 950

EP - 959

JO - Computers and Mathematics with Applications

JF - Computers and Mathematics with Applications

IS - 5

ER -

A game theoretical approach to the classification problem in gene expression data analysis

Abstract

Accesso al documento

Altri file e collegamenti

Fingerprint

Cita questo