Using coalitional games on biological networks to measure centrality and power of genes | Zendy

Stefano Moretti | Zendy; Vito Fragnelli | Zendy; Fioravante Patrone | Zendy; Stefano Bonassi | Zendy

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Using coalitional games on biological networks to measure centrality and power of genes

Author(s) -

Stefano Moretti,

Vito Fragnelli,

Fioravante Patrone,

Stefano Bonassi

Publication year - 2010

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btq508

Subject(s) - centrality , pairwise comparison , ranking (information retrieval) , computer science , biological network , shapley value , network theory , gene regulatory network , interaction network , network analysis , measure (data warehouse) , interpretation (philosophy) , katz centrality , theoretical computer science , gene , game theory , computational biology , artificial intelligence , data mining , betweenness centrality , mathematics , genetics , biology , mathematical economics , gene expression , combinatorics , physics , quantum mechanics , programming language

The interpretation of gene interaction in biological networks generates the need for a meaningful ranking of network elements. Classical centrality analysis ranks network elements according to their importance but may fail to reflect the power of each gene in interaction with the others.

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