Evolutionary and expression profiles of gene families crucial for central nervous system development
Information Sciences—Informatics and Computer Science: An International Journal - Bioinformatics-selected papers from 4th CBGI & 6th JCIS Proceedings
Inference of a gene regulatory network by means of interactive evolutionary computing
Information Sciences—Informatics and Computer Science: An International Journal - Bioinformatics-selected papers from 4th CBGI & 6th JCIS Proceedings
ADUS: Indirect Generation of User Interfaces on Wireless Devices
DEXA '04 Proceedings of the Database and Expert Systems Applications, 15th International Workshop
Minimum cost spanning tree situations and gene expression data analysis
GameNets '06 Proceeding from the 2006 workshop on Game theory for communications and networks
A game theoretical approach to the classification problem in gene expression data analysis
Computers & Mathematics with Applications
Feature selection based on the Shapley value
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
The Shapley and Banzhaf values in microarray games
Computers and Operations Research
Statistical analysis of the Shapley value for microarray games
Computers and Operations Research
TCP throughput adaptation in WiMax networks using replicator dynamics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Basics of game theory for bioinformatics
CIBB'09 Proceedings of the 6th international conference on Computational intelligence methods for bioinformatics and biostatistics
Potential bargaining for resource allocation in cognitive relay transmission
Journal of Network and Computer Applications
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The goal of this work is to provide a comprehensive review of different Game Theory applications that have been recently used to predict the behavior of non-rational agents in interaction situations arising from computational biology. In the first part of the paper, we focus on evolutionary games and their application to modelling the evolution of virulence. Here, the notion of Evolutionary Stable Strategy (ESS) plays an important role in modelling mutation mechanisms, whereas selection mechanisms are explained by means of the concept of replicator dynamics. In the second part, we describe a couple of applications concerning cooperative games in coalitional form, namely microarray games and Multi-perturbation Shapley value Analysis (MSA), for the analysis of genetic data. In both of the approaches, the Shapley value is used to assess the power of genes in complex regulatory pathways.