Pedro Larrañaga Múgica-rekin lankidetzan egindako argitalpenak (18)

2021

  1. Author Correction: A community-based transcriptomics classification and nomenclature of neocortical cell types (Nature Neuroscience, (2020), 23, 12, (1456-1468), 10.1038/s41593-020-0685-8)

    Nature Neuroscience

  2. Publisher Correction: A community-based transcriptomics classification and nomenclature of neocortical cell types (Nature Neuroscience, (2020), 23, 12, (1456-1468), 10.1038/s41593-020-0685-8)

    Nature Neuroscience

2020

  1. A community-based transcriptomics classification and nomenclature of neocortical cell types

    Nature Neuroscience

2016

  1. Genetic algorithms and Gaussian Bayesian networks to uncover the predictive core set of bibliometric indices

    Journal of the Association for Information Science and Technology, Vol. 67, Núm. 7, pp. 1703-1721

2015

  1. Discretization of expression quantitative trait loci in association analysis between genotypes and expression data

    Current Bioinformatics, Vol. 10, Núm. 2, pp. 144-164

2013

  1. Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data

    Information Sciences, Vol. 222, pp. 229-246

  2. Machine Learning Approach for the Outcome Prediction of Temporal Lobe Epilepsy Surgery

    PLoS ONE, Vol. 8, Núm. 4

  3. Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach

    Artificial Intelligence in Medicine, Vol. 58, Núm. 3, pp. 195-202

2012

  1. Ensemble transcript interaction networks: A case study on Alzheimer's disease

    Computer Methods and Programs in Biomedicine, Vol. 108, Núm. 1, pp. 442-450

  2. 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. 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. What is behind a summary-evaluation decision?

    Behavior Research Methods, Vol. 40, Núm. 2, pp. 597-612

2006

  1. Machine learning in bioinformatics

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