Publicacións nas que colabora con Cristina Rubio Escudero (12)

2010

  1. Optimization of multi-classifiers for computational biology: Application to gene finding and expression

    Theoretical Chemistry Accounts, Vol. 125, Núm. 3-6, pp. 599-611

2008

  1. A multiobjective evolutionary conceptual clustering methodology for gene annotation within structural databases: A case of study on the gene ontology database

    IEEE Transactions on Evolutionary Computation, Vol. 12, Núm. 6, pp. 679-701

  2. Classification of gene expression profiles: comparison of K-means and expectation maximization algorithms

    Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008

  3. Learning robust dynamic networks in prokaryotes by gene expression networks iterative explorer (GENIE)

    Studies in Computational Intelligence, Vol. 129, pp. 299-311

2007

  1. Identifying the promoter features governing differential kinetics of co-regulated genes using fuzzy expressions

    IEEE International Conference on Fuzzy Systems

  2. Modeling genetic networks: Comparison of static and dynamic models

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

  3. Modeling genetic networks: Comparison of static and dynamic models

    Summer Computer Simulation Conference 2007, SCSC'07, Part of the 2007 Summer Simulation Multiconference, SummerSim'07

  4. Targeting differentially co-regulated genes by multiobjective and multimodal optimization

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

2006

  1. Decision making association rules for recognition of differential gene expression profiles

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

  2. Fusion of domain knowledge for dynamic learning in transcriptional networks

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

  3. Mining structural databases: An Evolutionary Multi-Objetive Conceptual Clustering methodology

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

  4. Optimal selection of microarray analysis methods using a conceptual clustering algorithm

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