Discovery of Genes Implied in Cancer by Genetic Algorithms and Association Rules

This work proposes a methodology to identify genes highly related with cancer. In particular, a multi-objective evolutionary algo rithm named CANGAR is applied to obtain quantitative association rules. This kind of rules are used to identify dependencies between genes and their expression levels. Hierarchical cluster analysis, fold-change and review of the literature have been considered to validate the relevance of the results obtained. The results show that the reported genes are consistent with prior knowledge and able to characterize cancer colon patients.Ministerio de Ciencia y Tecnología TIN2011-28956-C02-02Ministerio de Economía y Competitividad TIN2014-55894-C2-1-RJunta de Andalucía P11-TIC-7528Junta de Andalucía P12-TIC-172