Publicaciones en colaboración con investigadoras/es de Universitat de Barcelona (21)

2022

  1. New Distance-Based approach for Genome-Wide Association Studies

    IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 19, Núm. 5, pp. 2938-2949

  2. dbcsp: User-friendly R package for Distance-Based Common Spatial Patterns

    R Journal, Vol. 14, Núm. 3, pp. 80-94

2020

  1. Genome-Wide Association Studies:: a distance-based approach

    Proceedings of the 35th International Workshop on Statistical Modelling : July 20-24, 2020 Bilbao, Basque Country, Spain

  2. ORdensity: User-friendly R package to identify differentially expressed genes

    BMC Bioinformatics, Vol. 21, Núm. 1

2017

  1. Extreme observations in biomedical data

    Trends in Mathematics (Springer International Publishing), pp. 3-8

2016

  1. Diagnosis using clinical/pathological and molecular information

    Statistical Methods in Medical Research, Vol. 25, Núm. 6, pp. 2878-2894

  2. Identifying extreme observations, outliers and noise in clinical and genetic data

    Current Bioinformatics, Vol. 11, Núm. 3

  3. Weighted distance based discriminant analysis: The r package weDiBaDis

    R Journal, Vol. 8, Núm. 2, pp. 435-454

2013

  1. The depth problem: Identifying the most representative units in a data group

    IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 10, Núm. 1, pp. 161-172

2011

  1. Loop-closing: A typicality approach

    Robotics and Autonomous Systems, Vol. 59, Núm. 3-4, pp. 218-227

  2. Microarray time course experiments: Finding profiles

    IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 8, Núm. 2, pp. 464-475

2010

  1. A new clustering algorithm for mixed data and replicates

    Cluster Computing and Multi-Hop Network Research (Nova Science Publishers, Inc.), pp. 91-108

  2. GEVA: Geometric variability-based approaches for identifying patterns in data

    Computational Statistics, Vol. 25, Núm. 2, pp. 241-255

  3. Robot Mapping based on Typicality

    Intelligent Autonomous Systems 11, IAS 2010

2008

  1. CLUM: A cluster program for analyzing microarray data

    Russian Journal of Genetics, Vol. 44, Núm. 8, pp. 993-996

  2. INCA: New statistic for estimating the number of clusters and identifying atypical units

    Statistics in Medicine, Vol. 27, Núm. 15, pp. 2948-2973