My main research fields are:

Machine learning algorithms

  • Supervised learning: Support Vector Machines (SVMs), Least-Squares Support Vector Machines (LS-SVM), Hierarchical Clustering, Gaussian Processes, etc.

  • Statistical classification: Analysis of Variance (ANOVA), logistic regression, Cox regression, etc.


Data mining

  • Analysis of high throughput biological data.

  • Feature selection: minimal-Redundance Maximal-Relevance (mRMR), Normalized Multual Information Feature Selection (NMIFS), etc.

  • Biological text mining.


Evolutionary algorithms

  • Genetic algorithms.

  • Multiobjective algorithms.


Applications on Bioinformatics

  • Improvement of multiple sequence alignments by multiobjective algorithms: [ MO-SAStrE ]

  • Prediction of accuracy in multiple sequence alignments [ PAcAlCI ]

  • Classification of biomedical documents.

  • Data expression analysis of microarray analysis.