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.