Publicaciones en las que colabora con IÑAKI INZA CANO (35)

2013

  1. A new measure for gene expression biclustering based on non-parametric correlation

    Computer Methods and Programs in Biomedicine, Vol. 112, Núm. 3, pp. 367-397

2012

  1. Identification of a biomarker panel for colorectal cancer diagnosis

    BMC Cancer, Vol. 12

  2. Wrapper positive Bayesian network classifiers

    Knowledge and Information Systems, Vol. 33, Núm. 3, pp. 631-654

2011

  1. Peakbin selection in mass spectrometry data using a consensus approach with estimation of distribution algorithms

    IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 8, Núm. 3, pp. 760-774

2010

  1. Machine learning: an indispensable tool in bioinformatics.

    Methods in molecular biology (Clifton, N.J.), Vol. 593, pp. 25-48

2009

  1. Bayesian classifiers based on kernel density estimation: Flexible classifiers

    International Journal of Approximate Reasoning, Vol. 50, Núm. 2, pp. 341-362

  2. Microarray analysis of autoimmune diseases by machine learning procedures

    IEEE Transactions on Information Technology in Biomedicine, Vol. 13, Núm. 3, pp. 341-350

2008

  1. Bayesian classifiers with consensus gene selection: a case study in the systemic lupus erythematosus

    Progress in industrial mathematics at ECMI 2006

  2. Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers

    Computer Methods and Programs in Biomedicine, Vol. 91, Núm. 2, pp. 110-121

2007

  1. A review of feature selection techniques in bioinformatics

    Bioinformatics, Vol. 23, Núm. 19, pp. 2507-2517

  2. Wrapper discretization by means of estimation of distribution algorithms

    Intelligent Data Analysis, Vol. 11, Núm. 5, pp. 525-545

2006

  1. Information theory and classification error in probabilistic classifiers

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

  2. Machine learning in bioinformatics

    Briefings in Bioinformatics, Vol. 7, Núm. 1, pp. 86-112

  3. Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes

    International Journal of Approximate Reasoning, Vol. 43, Núm. 1, pp. 1-25

2005

  1. A Guide to the Literature on Inferring Genetic Networks by Probabilistic Graphical Models

    Data Analysis and Visualization in Genomics and Proteomics (John Wiley & Sons, Ltd), pp. 215-238

  2. Feature selection in Bayesian classifiers for the prognosis of survival of cirrhotic patients treated with TIPS

    Journal of Biomedical Informatics, Vol. 38, Núm. 5, pp. 376-388

  3. Machine Learning: Editorial

    Machine Learning

  4. Modelos gráficos probabilísticos para la clasificación supervisada empleando la estimación basada en kernels Gaussianos esféricos

    Actas del III Taller Nacional de Minería de Datos y Aprendizaje (Thomson-Paraninfo), pp. 125-134

2004

  1. Filter versus wrapper gene selection approaches in DNA microarray domains

    Artificial Intelligence in Medicine, Vol. 31, Núm. 2, pp. 91-103

  2. Gene selection for cancer classification using wrapper approaches

    International Journal of Pattern Recognition and Artificial Intelligence, Vol. 18, Núm. 8, pp. 1373-1390