José Antonio Seoane Fernández

According to our database1, José Antonio Seoane Fernández authored at least 26 papers between 2009 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Dynamics of breast-cancer relapse reveal late-recurring ER-positive genomic subgroups.
Nat., 2019

Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models.
CoRR, 2019

Texture classification using feature selection and kernel-based techniques.
Soft Comput., 2015

RRegrs: an R package for computer-aided model selection with multiple regression models.
J. Cheminformatics, 2015

Canonical Correlation Analysis for Gene-Based Pleiotropy Discovery.
PLoS Comput. Biol., 2014

Breast density classification to reduce false positives in CADe systems.
Comput. Methods Programs Biomed., 2014

A pathway-based data integration framework for prediction of disease progression.
Bioinform., 2014

Using a Random Forest proximity measure for variable importance stratification in genotypic data.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014

A Random Forest proximity matrix as a new measure for gene annotation.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

SNP locator: a candidate SNP selection tool.
Int. J. Data Min. Model. Manag., 2013

Spot matching in 2D electrophoresis experiments.
Int. J. Data Anal. Tech. Strateg., 2013

A Texture-based Classification Method for Proteins in Two-Dimensional Electrophoresis Gel Images - A Feature Selection Method using Support Vector Machines and Genetic Algorithms.
Proceedings of the VISAPP 2013, 2013

Anonymizing Patient Genomic Data for Public Sharing Association Studies.
Proceedings of the MEDINFO 2013, 2013

Texture Classification Using Kernel-Based Techniques.
Proceedings of the Advances in Computational Intelligence, 2013

2D-PAGE Texture Classification using Support Vector Machines and Genetic Algorithms - An Hybrid Approach for Texture Image Analysis.
Proceedings of the BIOINFORMATICS 2013 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Barcelona, Spain, 11, 2013

Texture Classification of Proteins Using Support Vector Machines and Bio-inspired Metaheuristics.
Proceedings of the Biomedical Engineering Systems and Technologies, 2013

Using genetic algorithms and k-nearest neighbour for automatic frequency band selection for signal classification.
IET Signal Process., 2012

Analysis of Deformation Processes using Block-matching Techniques.
Proceedings of the VISAPP 2012, 2012

SNP-Schizo: A Web Tool for Schizophrenia SNP Sequence Classification.
Proceedings of the Advances in Computational Intelligence, 2011

Motion estimation in real deformation processes based on block-matching techniques.
Proceedings of the 2011 IEEE International Symposium on Signal Processing and Information Technology, 2011

A Tree Classifier for Automatic Breast Tissue Classification Based on BIRADS Categories.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

Retrieval and management of medical information from heterogeneous sources, for its integration in a medical record visualisation tool.
Int. J. Electron. Heal., 2010

A Block-matching based technique for the analysis of 2D gel images.
Proceedings of the MEDINFO 2010, 2010

Ontologies and Processing Patterns for Microarrays.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Data Mining in Complex Diseases Using Evolutionary Computation.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Classification of EEG signals using relative wavelet energy and artificial neural networks.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009