IDEAS home Printed from https://ideas.repec.org/p/sal/celpdp/0133.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.celpe.unisa.it/uploads/rescue/784/1048/133.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Le Breton, Michel & Montero, Maria & Zaporozhets, Vera, 2012. "Voting power in the EU council of ministers and fair decision making in distributive politics," Mathematical Social Sciences, Elsevier, vol. 63(2), pages 159-173.
    2. Stefano Benati & Giuseppe Vittucci Marzetti, 2021. "Voting power on a graph connected political space with an application to decision-making in the Council of the European Union," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 57(4), pages 733-761, November.
    3. J. Alonso-Meijide & B. Casas-Méndez & M. Fiestras-Janeiro & M. Holler, 2011. "The Deegan–Packel index for simple games with a priori unions," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(2), pages 425-439, February.
    4. Takaaki Abe & Satoshi Nakada, 2023. "Core stability of the Shapley value for cooperative games," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 60(4), pages 523-543, May.
    5. Stefano Moretti & Fioravante Patrone, 2008. "Transversality of the Shapley value," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 1-41, July.
    6. Hamers, Herbert & Husslage, Bart & Lindelauf, R. & Campen, Tjeerd, 2016. "A New Approximation Method for the Shapley Value Applied to the WTC 9/11 Terrorist Attack," Other publications TiSEM 8a67b416-1091-4efe-a1a6-7, Tilburg University, School of Economics and Management.
    7. Daniel Kaimann, 2014. "Combining Qualitative Comparative Analysis and Shapley Value Decomposition: A Novel Approach for Modeling Complex Causal Structures in Dynamic Markets," Working Papers Dissertations 12, Paderborn University, Faculty of Business Administration and Economics.
    8. Hamers, Herbert & Husslage, Bart & Lindelauf, R. & Campen, Tjeerd, 2016. "A New Approximation Method for the Shapley Value Applied to the WTC 9/11 Terrorist Attack," Discussion Paper 2016-042, Tilburg University, Center for Economic Research.
    9. Svetlana Tarashnina, 2011. "The simplified modified nucleolus of a cooperative TU-game," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 19(1), pages 150-166, July.
    10. Keita Honjo, 2015. "Cooperative Emissions Trading Game: International Permit Market Dominated by Buyers," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-20, August.
    11. repec:dau:papers:123456789/4922 is not listed on IDEAS
    12. Le Breton, Michel & Montero, Maria & Zaporozhets, Vera, 2012. "Voting power in the EU council of ministers and fair decision making in distributive politics," Mathematical Social Sciences, Elsevier, vol. 63(2), pages 159-173.
    13. Le Breton, Michel & Lepelley, Dominique & Smaoui, Hatem, 2012. "The Probability of Casting a Decisive Vote: From IC to IAC trhough Ehrhart's Polynomials and Strong Mixing," IDEI Working Papers 722, Institut d'Économie Industrielle (IDEI), Toulouse.
    14. Sylvain Béal & Marc Deschamps & Mostapha Diss & Rodrigue Tido Takeng, 2024. "Cooperative games with diversity constraints," Working Papers hal-04447373, HAL.
    15. Roland Kirstein & Matthias Peiss, 2013. "Quantitative Machtkonzepte in der Ökonomik," FEMM Working Papers 130004, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    16. Deniz Aksoy, 2010. "Who gets what, when, and how revisited: Voting and proposal powers in the allocation of the EU budget," European Union Politics, , vol. 11(2), pages 171-194, June.
    17. Laruelle, Annick & Valenciano, Federico, 2008. "Noncooperative foundations of bargaining power in committees and the Shapley-Shubik index," Games and Economic Behavior, Elsevier, vol. 63(1), pages 341-353, May.
    18. Leech, Dennis, 2002. "Voting Power In The Governance Of The International Monetary Fund," Economic Research Papers 269354, University of Warwick - Department of Economics.
    19. Peter Knudsen & Lars Østerdal, 2012. "Merging and splitting in cooperative games: some (im)possibility results," International Journal of Game Theory, Springer;Game Theory Society, vol. 41(4), pages 763-774, November.
    20. Block, Joern H. & Hirschmann, Mirko & Kranz, Tobias & Neuenkirch, Matthias, 2023. "Public family firms and economic inequality across societies," Journal of Business Venturing Insights, Elsevier, vol. 19(C).
    21. Matija Kovacic & Claudio Zoli, 2021. "Ethnic distribution, effective power and conflict," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 57(2), pages 257-299, August.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sal:celpdp:0133. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Roberto Dell'Anno (email available below). General contact details of provider: https://edirc.repec.org/data/cesalit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.