PEDRO MARIA
LARRAÑAGA MUGICA
Ikertzaileren 2004-2008 tartean
IÑAKI
INZA CANO
IRAKASLE OSOA
IÑAKI INZA CANO-rekin lankidetzan egindako argitalpenak (35)
2013
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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
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Identification of a biomarker panel for colorectal cancer diagnosis
BMC Cancer, Vol. 12
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Wrapper positive Bayesian network classifiers
Knowledge and Information Systems, Vol. 33, Núm. 3, pp. 631-654
2011
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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
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Machine learning: an indispensable tool in bioinformatics.
Methods in molecular biology (Clifton, N.J.), Vol. 593, pp. 25-48
2009
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Bayesian classifiers based on kernel density estimation: Flexible classifiers
International Journal of Approximate Reasoning, Vol. 50, Núm. 2, pp. 341-362
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Microarray analysis of autoimmune diseases by machine learning procedures
IEEE Transactions on Information Technology in Biomedicine, Vol. 13, Núm. 3, pp. 341-350
2008
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Bayesian classifiers with consensus gene selection: a case study in the systemic lupus erythematosus
Progress in industrial mathematics at ECMI 2006
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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
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A review of feature selection techniques in bioinformatics
Bioinformatics, Vol. 23, Núm. 19, pp. 2507-2517
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Wrapper discretization by means of estimation of distribution algorithms
Intelligent Data Analysis, Vol. 11, Núm. 5, pp. 525-545
2006
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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)
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Machine learning in bioinformatics
Briefings in Bioinformatics, Vol. 7, Núm. 1, pp. 86-112
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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
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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
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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
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Machine Learning: Editorial
Machine Learning
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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
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Filter versus wrapper gene selection approaches in DNA microarray domains
Artificial Intelligence in Medicine, Vol. 31, Núm. 2, pp. 91-103
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Gene selection for cancer classification using wrapper approaches
International Journal of Pattern Recognition and Artificial Intelligence, Vol. 18, Núm. 8, pp. 1373-1390