Artículo
An application of the Shapley value to the analysis of co-expression networks
Autor/es | Cesari, Giulia
Algaba Durán, Encarnación Moretti, Stefano Nepomuceno Chamorro, Juan Antonio |
Departamento | Universidad de Sevilla. Departamento de Matemática Aplicada II (ETSI) Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2018-08-24 |
Fecha de depósito | 2019-07-10 |
Publicado en |
|
Resumen | 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 ... 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. |
Cita | 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. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
An-application-of-the-Shapley- ... | 1.915Mb | [PDF] | Ver/ | |