JORGE MARTIN AREVALILLO-rekin lankidetzan egindako argitalpenak (21)

2023

  1. New Insights on the Multivariate Skew Exponential Power Distribution

    Mathematica Slovaca, Vol. 73, Núm. 2, pp. 529-544

2021

  1. Skewness-based projection pursuit as an eigenvector problem in scale mixtures of skew-normal distributions

    Symmetry, Vol. 13, Núm. 6

  2. Skewness-kurtosis model-based projection pursuit with application to summarizing gene expression data

    Mathematics, Vol. 9, Núm. 9

2020

  1. Bayesian networks established functional differences between breast cancer subtypes

    PloS one, Vol. 15, Núm. 6, pp. e0234752

  2. Computational models applied to metabolomics data hints at the relevance of glutamine metabolism in breast cancer

    BMC Cancer, Vol. 20, Núm. 1

  3. Data projections by skewness maximization under scale mixtures of skew-normal vectors

    Advances in Data Analysis and Classification, Vol. 14, Núm. 2, pp. 435-461

2019

  1. A novel approach to triple-negative breast cancer molecular classification reveals a luminal immune-positive subgroup with good prognoses

    Scientific Reports, Vol. 9, Núm. 1

  2. A stochastic ordering based on the canonical transformation of skew-normal vectors

    Test, Vol. 28, Núm. 2, pp. 475-498

  3. Biological molecular layer classification of muscle-invasive bladder cancer opens new treatment opportunities

    BMC Cancer, Vol. 19, Núm. 1

2018

  1. Molecular characterization of breast cancer cell response to metabolic drugs

    Oncotarget, Vol. 9, Núm. 11, pp. 9645-9660

  2. Probabilistic graphical models relate immune status with response to neoadjuvant chemotherapy in breast cancer

    Oncotarget, Vol. 9, Núm. 45, pp. 27586-27594

2017

  1. Functional proteomics outlines the complexity of breast cancer molecular subtypes

    Scientific Reports, Vol. 7, Núm. 1

  2. Urothelial cancer proteomics provides both prognostic and functional information

    Scientific Reports, Vol. 7, Núm. 1

2015

  1. A note on the direction maximizing skewness in multivariate skew-t vectors

    Statistics and Probability Letters, Vol. 96, pp. 328-332

  2. Combined label-free quantitative proteomics and microRNA expression analysis of breast cancer unravel molecular differences with clinical implications

    Cancer Research, Vol. 75, Núm. 11, pp. 2243-2253

2013

  1. Exploring correlations in gene expression microarray data for maximum predictive-minimum redundancy biomarker selection and classification

    Computers in Biology and Medicine, Vol. 43, Núm. 10, pp. 1437-1443

2012

  1. A study of the effect of kurtosis on discriminant analysis under elliptical populations

    Journal of Multivariate Analysis, Vol. 107, pp. 53-63

2011

  1. A new method for identifying bivariate differential expression in high dimensional microarray data using quadratic discriminant analysis.

    BMC bioinformatics, Vol. 12 Suppl 12

  2. Uncovering bivariate interactions in high dimensional data using random forests with data augmentation

    Fundamenta Informaticae, Vol. 113, Núm. 2, pp. 97-115

2010

  1. A new approach for detecting bivariate interactions in high dimensional data using quadratic discriminant analysis

    Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining