Ruben Armañanzas Arnedillo-rekin lankidetzan egindako argitalpenak (12)

2022

  1. Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization

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

2012

  1. Identification of a biomarker panel for colorectal cancer diagnosis

    BMC Cancer, Vol. 12

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

  2. Mateda-2.0: Estimation of distribution algorithms in MATLAB

    Journal of Statistical Software, Vol. 35, Núm. 7, pp. 1-30

2009

  1. Differential micro RNA expression in PBMC from multiple sclerosis patients

    PLoS ONE, Vol. 4, Núm. 7

  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

  3. Gene expression profiling in limb-girdle muscular dystrophy 2A

    PLoS ONE, Vol. 3, Núm. 11

2006

  1. Machine learning in bioinformatics

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

2005

  1. A multiobjective approach to the portfolio optimization problem

    2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings