Centrality measures are used in network analysis to identify the relevant elements in a network. Recently, several centrality measures based on coalitional game theory have been successfully applied to dif ferent kinds of biological networks, such as brain networks, gene networks, and metabolic networks. We propose an approach, using...
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May 26, 2022 (v1)PublicationUploaded on: December 4, 2022
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July 10, 2019 (v1)Publication
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...
Uploaded on: March 27, 2023 -
2017 (v1)Publication
The discovery of missense mutations of ALK gene identified this receptor tyrosine kinase as a therapeutic target in neuroblastoma (NB). Moreover, a high level of ALK protein has been associated with metastatic NB cases and with a worse prognosis, suggesting that also ALK overexpression is involved in NB tumorigenesis. Since miRNAs play key...
Uploaded on: March 27, 2023