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


ABSTRACT: 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.

SUBMITTER: Cesari G 

PROVIDER: S-EPMC6214322 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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

Cesari Giulia G   Algaba Encarnación E   Moretti Stefano S   Nepomuceno Juan A JA  

Applied network science 20180824 1


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 compari  ...[more]

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