EconPapers    
Economics at your fingertips  
 

Classes empiétantes dans un graphe et application aux interactions entre protéines

Lucile Denoeud, Irène Charon, Alain Guénoche and Olivier Hudry
Additional contact information
Lucile Denoeud: ENST et CERMSEM
Irène Charon: ENST
Alain Guénoche: Institut de Math matiques de Luminy
Olivier Hudry: ENST et CERMSEM

Cahiers de la Maison des Sciences Economiques from Université Panthéon-Sorbonne (Paris 1)

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

Keywords: Bioinformatics; classification; density function; interaction network (search for similar items in EconPapers)
JEL-codes: C69 (search for similar items in EconPapers)
Pages: 15 pages
Date: 2005-04
New Economics Papers: this item is included in nep-net
References: Add references at CitEc
Citations:

Downloads: (external link)
https://shs.hal.science/hal-00199799 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:mse:wpsorb:b05032

Access Statistics for this paper

More papers in Cahiers de la Maison des Sciences Economiques from Université Panthéon-Sorbonne (Paris 1) Contact information at EDIRC.
Bibliographic data for series maintained by Lucie Label ().

 
Page updated 2025-10-08
Handle: RePEc:mse:wpsorb:b05032