IDEAS home Printed from https://ideas.repec.org/p/mse/wpsorb/b05032.html
   My bibliography  Save this paper

Classes empiétantes dans un graphe et application aux interactions entre protéines

Author

Listed:
  • Lucile Denoeud

    (ENST et CERMSEM)

  • Irène Charon

    (ENST)

  • Alain Guénoche

    (Institut de Mathématiques de Luminy)

  • Olivier Hudry

    (ENST et CERMSEM)

Abstract

In this paper, we study a method of classification by density in an unweighted graph. We search some areas with a high density of edges, that can be overlapping (we don't try to obtain a partition but some intrinsic classes). The method consists of two steps; first we determine the cores of the classes by means of a local density function and then we extend these cores by their neighbourhoods following a criterion on the density of the classes. Finally, the method is applied on a protein-protein interaction network, with the aim of predicting unknown cellular functions of some proteins

Suggested Citation

  • Lucile Denoeud & Irène Charon & Alain Guénoche & Olivier Hudry, 2005. "Classes empiétantes dans un graphe et application aux interactions entre protéines," Cahiers de la Maison des Sciences Economiques b05032, Université Panthéon-Sorbonne (Paris 1).
    • Handle: RePEc:mse:wpsorb:b05032
    as

    Download full text from publisher

    File URL: https://hal.archives-ouvertes.fr/hal-00199799
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Bioinformatics; classification; density function; interaction network;
    All these keywords.

    JEL classification:

    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other

    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:mse:wpsorb:b05032. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Lucie Label (email available below). General contact details of provider: https://edirc.repec.org/data/msep1fr.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.