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An Overview on the Application of the Coalitional Games in Cancer Diagnosis

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  • BIMONTE, Giovanna

    (CELPE - Centre of Labour Economics and Economic Policy, University of Salerno - Italy)

  • SENATORE, Luigi

    (CELPE - Centre of Labour Economics and Economic Policy, University of Salerno - Italy)

Abstract

In this paper we describe some interesting applications of the Coalitional Game in Cancer Diagnosis. Particularly we illustrate specific studies that starting from the description of the Microarray Technology apply game theoretical tools able to improve the analysis of genes’ expression data. Indeed DNA Microarray technology has become a useful technique to develop new diagnostic tools and to identify genes’ degeneration and therapeutic targets for human cancers. Nevertheless the cooperative game theory analysis can strongly support the therapy of the diseases starting from the analysis of the genes’ behaviour. Using the coalitional games it is possible to evaluate the interactivity level of every gene according to the intricate and intrinsic interrelation among them. The coalitional games can be used as a theoretical tool that determines an index able to point out for each biological factor or variable the relevance in the production of a determined biological effect.

Suggested Citation

  • BIMONTE, Giovanna & SENATORE, Luigi, 2014. "An Overview on the Application of the Coalitional Games in Cancer Diagnosis," CELPE Discussion Papers 133, CELPE - CEnter for Labor and Political Economics, University of Salerno, Italy.
  • Handle: RePEc:sal:celpdp:0133
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    References listed on IDEAS

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    1. Julian Peto, 2001. "Cancer epidemiology in the last century and the next decade," Nature, Nature, vol. 411(6835), pages 390-395, May.
    2. Stefano Moretti & Fioravante Patrone & Stefano Bonassi, 2007. "The class of microarray games and the relevance index for genes," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 15(2), pages 256-280, December.
    3. Bezalel Peleg & Peter Sudhölter, 2007. "Introduction to the Theory of Cooperative Games," Theory and Decision Library C, Springer, edition 0, number 978-3-540-72945-7, March.
    4. Shapley, L. S. & Shubik, Martin, 1954. "A Method for Evaluating the Distribution of Power in a Committee System," American Political Science Review, Cambridge University Press, vol. 48(3), pages 787-792, September.
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    More about this item

    Keywords

    Microarray games; Cooperative games; Medical applications;
    All these keywords.

    JEL classification:

    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • H50 - Public Economics - - National Government Expenditures and Related Policies - - - General
    • H62 - Public Economics - - National Budget, Deficit, and Debt - - - Deficit; Surplus

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