TY - JOUR AU - Cesari, Giulia AU - Algaba, EncarnaciĆ³n AU - Moretti, Stefano AU - Nepomuceno, Juan A. PY - 2018 DA - 2018/08/24 TI - An application of the Shapley value to the analysis of co-expression networks JO - Applied Network Science SP - 35 VL - 3 IS - 1 AB - 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. SN - 2364-8228 UR - https://doi.org/10.1007/s41109-018-0095-y DO - 10.1007/s41109-018-0095-y ID - Cesari2018 ER -