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

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-ex...

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Autores principales: Cesari, Giulia, Algaba, Encarnación, Moretti, Stefano, Nepomuceno, Juan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214322/
https://www.ncbi.nlm.nih.gov/pubmed/30839839
http://dx.doi.org/10.1007/s41109-018-0095-y
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author Cesari, Giulia
Algaba, Encarnación
Moretti, Stefano
Nepomuceno, Juan A.
author_facet Cesari, Giulia
Algaba, Encarnación
Moretti, Stefano
Nepomuceno, Juan A.
author_sort Cesari, Giulia
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s41109-018-0095-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-62143222018-11-13 An application of the Shapley value to the analysis of co-expression networks Cesari, Giulia Algaba, Encarnación Moretti, Stefano Nepomuceno, Juan A. Appl Netw Sci Research 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s41109-018-0095-y) contains supplementary material, which is available to authorized users. Springer International Publishing 2018-08-24 2018 /pmc/articles/PMC6214322/ /pubmed/30839839 http://dx.doi.org/10.1007/s41109-018-0095-y Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Cesari, Giulia
Algaba, Encarnación
Moretti, Stefano
Nepomuceno, Juan A.
An application of the Shapley value to the analysis of co-expression networks
title An application of the Shapley value to the analysis of co-expression networks
title_full An application of the Shapley value to the analysis of co-expression networks
title_fullStr An application of the Shapley value to the analysis of co-expression networks
title_full_unstemmed An application of the Shapley value to the analysis of co-expression networks
title_short An application of the Shapley value to the analysis of co-expression networks
title_sort application of the shapley value to the analysis of co-expression networks
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214322/
https://www.ncbi.nlm.nih.gov/pubmed/30839839
http://dx.doi.org/10.1007/s41109-018-0095-y
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