Motivation: 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.
Results: We introduce a new approach using coalitional games to evaluate the centrality of genes in networks keeping into account genes' interactions.