Publicaciones en las que colabora con Javier P. Florido (6)

2013

  1. An effective, practical and low computational cost framework for the integration of heterogeneous data to predict functional associations between proteins by means of artificial neural networks

    Neurocomputing, Vol. 121, pp. 64-78

  2. Optimizing multiple sequence alignments using a genetic algorithm based on three objectives: Structural information, non-gaps percentage and totally conserved columns

    Bioinformatics, Vol. 29, Núm. 17, pp. 2112-2121

  3. Predicting the accuracy of multiple sequence alignment algorithms by using computational intelligent techniques

    Nucleic Acids Research, Vol. 41, Núm. 1

2012

  1. Optimization of multiple sequence alignment methodologies using a multiobjective evolutionary algorithm based on NSGA-II

    2012 IEEE Congress on Evolutionary Computation, CEC 2012

2011

  1. Prediction of functional associations between proteins by means of a cost-sensitive artificial neural network

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

  2. Using machine learning techniques and genomic/proteomic information from known databases for PPI prediction

    Advances in Intelligent and Soft Computing