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An application of the Shapley value to the analysis of co-expression networks

Cesari, Giulia; Algaba, Encarnación; Moretti, Stefano; Nepomuceno, Juan A. (2018), An application of the Shapley value to the analysis of co-expression networks, Applied Network Science, 3, 1, p. 3:35. 10.1007/s41109-018-0095-y

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Type
Article accepté pour publication ou publié
Date
2018
Journal name
Applied Network Science
Volume
3
Number
1
Pages
3:35
Publication identifier
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Author(s)
Cesari, Giulia
Dipartimento di Matematica, "Francesco Brioschi"
Algaba, Encarnación
Department of Applied Mathematics
Moretti, Stefano cc
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Nepomuceno, Juan A.
Department of Languages and Computer Systems [LSI-US]
Abstract (EN)
We study the problem of identifying relevant genes in a co-expression network using a (cooperative) game theoretic approach. The Shapley value of a cooperative game is used to asses the relevance of each gene in interaction with the others, and to stress the role of nodes in the periphery of a co-expression network for the regulation of complex biological pathways of interest. An application of the method to the analysis of gene expression data from microarrays is presented, as well as a comparison with classical centrality indices. Finally, making further assumptions about the a priori importance of genes, we combine the game theoretic model with other techniques from cluster analysis.
Subjects / Keywords
Cooperative game theory; Centrality; Co-expression networks; Shapley value