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A Cellular Automaton Model for Tumor Growth Simulation.

, and . PACBB, volume 154 of Advances in Intelligent and Soft Computing, page 147-155. Springer, (2012)

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Simulated evolution applied to study the genetic code optimality using a model of codon reassignments., and . BMC Bioinformatics, (2011)A Cellular Automaton Model for Tumor Growth Simulation., and . PACBB, volume 154 of Advances in Intelligent and Soft Computing, page 147-155. Springer, (2012)Simulated evolution applied to study the genetic code optimality using a model of codon reassignments., and . BMC Bioinform., (2011)Study of Cancer Hallmarks Relevance Using a Cellular Automaton Tumor Growth Model., and . PPSN (1), volume 7491 of Lecture Notes in Computer Science, page 489-499. Springer, (2012)Inclusion of the fitness sharing technique in an evolutionary algorithm to analyze the fitness landscape of the genetic code adaptability., and . BMC Bioinform., 18 (1): 195:1-195:18 (2017)Cancer Stem Cell Modeling Using a Cellular Automaton., and . IWINAC (2), volume 7931 of Lecture Notes in Computer Science, page 21-31. Springer, (2013)Genetic code optimality studied by means of simulated evolution and within the coevolution theory of the canonical code organization., and . Nat. Comput., 8 (4): 719-738 (2009)Simulated Evolution of the Adaptability of the Genetic Code Using Genetic Algorithms., and . IWINAC (1), volume 4527 of Lecture Notes in Computer Science, page 478-487. Springer, (2007)Studying the capability of different cancer hallmarks to initiate tumor growth using a cellular automaton simulation. Application in a cancer stem cell context., and . Biosyst., (2014)Evolutionary Optimization of Cancer Treatments in a Cancer Stem Cell Context., and . GECCO, page 233-240. ACM, (2015)