Publicacións nas que colabora con Ángel Monteagudo (15)

2017

  1. Inclusion of the fitness sharing technique in an evolutionary algorithm to analyze the fitness landscape of the genetic code adaptability

    BMC Bioinformatics, Vol. 18, Núm. 1

2016

  1. Tumor Growth Emergent Behavior Analysis Based on Cancer Hallmarks and in a Cancer Stem Cell Context

    Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications (Elsevier Inc.), pp. 533-543

  2. Tumor growth analysis using cellular automata based on the cancer hallmarks

    Tumor growth analysis using cellular automata based on the cancer hallmarks

2015

  1. Analysis of behaviour transitions in tumour growth using a cellular automaton simulation

    IET Systems Biology, Vol. 9, Núm. 3, pp. 75-87

  2. Evolutionary optimization of cancer treatments in a cancer stem cell context

    GECCO 2015 - Proceedings of the 2015 Genetic and Evolutionary Computation Conference

  3. Treatment analysis in a cancer stem cell context using a tumor growth model based on cellular automata

    PLoS ONE, Vol. 10, Núm. 7

2014

  1. Studying the capability of different cancer hallmarks to initiate tumor growth using a cellular automaton simulation. Application in a cancer stem cell context

    BioSystems, Vol. 115, Núm. 1, pp. 46-58

2013

  1. Cancer stem cell modeling using a cellular automaton

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2012

  1. A Cellular Automaton Model for Tumor Growth Simulation

    6TH INTERNATIONAL CONFERENCE ON PRACTICAL APPLICATIONS OF COMPUTATIONAL BIOLOGY & BIOINFORMATICS

  2. A cellular automaton model for tumor growth simulation

    Advances in Intelligent and Soft Computing

  3. Study of cancer hallmarks relevance using a cellular automaton tumor growth model

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2011

  1. Simulated evolution applied to study the genetic code optimality using a model of codon reassignments

    BMC Bioinformatics, Vol. 12

2010

  1. Study of the genetic code adaptability by means of a genetic algorithm

    Journal of Theoretical Biology, Vol. 264, Núm. 3, pp. 854-865

2009

  1. Genetic code optimality studied by means of simulated evolution and within the coevolution theory of the canonical code organization

    Natural Computing, Vol. 8, Núm. 4, pp. 719-738

2007

  1. Simulated evolution of the adaptability of the genetic code using genetic algorithms

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)