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

 

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Opened Access An application of the Shapley value to the analysis of co-expression networks
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Author: Cesari, Giulia
Algaba Durán, Encarnación
Moretti, Stefano
Nepomuceno Chamorro, Juan Antonio
Department: Universidad de Sevilla. Departamento de Matemática Aplicada II (ETSI)
Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Date: 2018-08-24
Published in: Applied Network Science, 3, 35-1-35-21.
Document type: Article
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.
Cite: Cesari, G., Algaba Durán, E., Moretti, S. y Nepomuceno Chamorro, J.A. (2018). An application of the Shapley value to the analysis of co-expression networks. Applied Network Science, 3, 35-1-35-21.
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URI: https://hdl.handle.net/11441/87984

DOI: 10.1007/s41109-018-0095-y

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