Publicaciones en las que colabora con JUAN MANUEL MARTÍNEZ GÁLVEZ (11)

2023

  1. Comprehensive Pan-cancer Gene Signature Assessment through the Implementation of a Cascade Machine Learning System

    Current Bioinformatics, Vol. 18, Núm. 1, pp. 40-54

2022

  1. Heterogeneous Gene Expression Cross-evaluation of Robust Biomarkers Using Machine Learning Techniques Applied to Lung Cancer

    Current Bioinformatics, Vol. 17, Núm. 2, pp. 150-163

2021

  1. KnowSeq R-Bioc package: The automatic smart gene expression tool for retrieving relevant biological knowledge

    Computers in Biology and Medicine, Vol. 133

2020

  1. Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets

    IEEE Journal of Biomedical and Health Informatics, Vol. 24, Núm. 7, pp. 2119-2130

2019

  1. Feature Selection and Assessment of Lung Cancer Sub-types by Applying Predictive Models

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Improving Wearable Activity Recognition via Fusion of Multiple Equally-Sized Data Subwindows

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Leukemia multiclass assessment and classification from Microarray and RNA-seq technologies integration at gene expression level

    PLoS ONE, Vol. 14, Núm. 2

2018

  1. Multiclass classification for skin cancer profiling based on the integration of heterogeneous gene expression series

    PLoS ONE, Vol. 13, Núm. 5

2017

  1. Breast cancer microarray and RNASeq data integration applied to classification

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 10305 LNCS, pp. 123-131

  2. Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling

    BMC Bioinformatics, Vol. 18, Núm. 1

2015

  1. Multiwindow fusion for wearable activity recognition

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)