Machine learning in bioinformatics P Larranaga, B Calvo, R Santana, C Bielza, J Galdiano, I Inza, JA Lozano, ... Briefings in bioinformatics 7 (1), 86-112, 2006 | 1076 | 2006 |
Differential micro RNA expression in PBMC from multiple sclerosis patients D Otaegui, SE Baranzini, R Armañanzas, B Calvo, M Muñoz-Culla, ... PloS one 4 (7), e6309, 2009 | 309 | 2009 |
A community-based transcriptomics classification and nomenclature of neocortical cell types R Yuste, M Hawrylycz, N Aalling, A Aguilar-Valles, D Arendt, ... Nature neuroscience 23 (12), 1456-1468, 2020 | 213 | 2020 |
A multiobjective approach to the portfolio optimization problem R Armananzas, JA Lozano 2005 IEEE congress on evolutionary computation 2, 1388-1395, 2005 | 146 | 2005 |
A review of estimation of distribution algorithms in bioinformatics R Armañanzas, I Inza, R Santana, Y Saeys, JL Flores, JA Lozano, ... BioData mining 1, 1-12, 2008 | 138 | 2008 |
Machine learning: an indispensable tool in bioinformatics I Inza, B Calvo, R Armananzas, E Bengoetxea, P Larranaga, JA Lozano Bioinformatics methods in clinical research, 25-48, 2009 | 136 | 2009 |
Towards the automatic classification of neurons R Armañanzas, GA Ascoli Trends in neurosciences 38 (5), 307-318, 2015 | 118 | 2015 |
Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach R Armañanzas, C Bielza, KR Chaudhuri, P Martinez-Martin, P Larrañaga Artificial intelligence in medicine 58 (3), 195-202, 2013 | 92 | 2013 |
Win–win data sharing in neuroscience GA Ascoli, P Maraver, S Nanda, S Polavaram, R Armañanzas Nature methods 14 (2), 112-116, 2017 | 72 | 2017 |
Voxel-based diagnosis of Alzheimer's disease using classifier ensembles R Armananzas, M Iglesias, DA Morales, L Alonso-Nanclares IEEE journal of biomedical and health informatics 21 (3), 778-784, 2016 | 67 | 2016 |
Identification of a biomarker panel for colorectal cancer diagnosis A García-Bilbao, R Armañanzas, Z Ispizua, B Calvo, A Alonso-Varona, ... BMC cancer 12, 1-13, 2012 | 65 | 2012 |
An open repository for single-cell reconstructions of the brain forest MA Akram, S Nanda, P Maraver, R Armañanzas, GA Ascoli Scientific data 5 (1), 1-12, 2018 | 64 | 2018 |
Machine learning approach for the outcome prediction of temporal lobe epilepsy surgery R Armañanzas, L Alonso-Nanclares, J DeFelipe-Oroquieta, ... PLoS One 8 (4), e62819, 2013 | 61 | 2013 |
Gene expression profiling in limb-girdle muscular dystrophy 2A A Sáenz, M Azpitarte, R Armañanzas, F Leturcq, A Alzualde, I Inza, ... PloS one 3 (11), e3750, 2008 | 61 | 2008 |
Mateda-2.0: A MATLAB package for the implementation and analysis of estimation of distribution algorithms R Santana, C Bielza, P Larranaga, JA Lozano, C Echegoyen, ... Journal of Statistical Software 35, 1-30, 2010 | 60 | 2010 |
Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers R Armañanzas, I Inza, P Larrañaga Computer methods and programs in biomedicine 91 (2), 110-121, 2008 | 44 | 2008 |
Peakbin selection in mass spectrometry data using a consensus approach with estimation of distribution algorithms R Armananzas, Y Saeys, I Inza, M Garcia-Torres, C Bielza, Y Van de Peer, ... IEEE/ACM Transactions on Computational Biology and Bioinformatics 8 (3), 760-774, 2010 | 42 | 2010 |
The importance of metadata to assess information content in digital reconstructions of neuronal morphology R Parekh, R Armañanzas, GA Ascoli Cell and tissue research 360, 121-127, 2015 | 40 | 2015 |
Microarray analysis of autoimmune diseases by machine learning procedures R Armananzas, B Calvo, I Inza, M López-Hoyos, V Martínez-Taboada, ... IEEE Transactions on Information Technology in Biomedicine 13 (3), 341-350, 2009 | 28 | 2009 |
Doubling up on the fly: neuromorpho. org meets big data S Nanda, MM Allaham, M Bergamino, S Polavaram, R Armañanzas, ... Neuroinformatics 13, 127-129, 2015 | 27 | 2015 |