2015:

Ortuño, F.M., Valenzuela, O., Prieto, B., Saez-Lara, M.J., Torres, C., Pomares, H., Rojas, I.: Comparing different machine learning and mathematical regression models to evaluate multiple sequence alignments. Neurocomputing, 164, 123-136 (2015).[LINK]

Ortuño, F.M., Pomares, H., Valenzuela, O., Torres, C., Rojas, I.: A Hierarchical Classification for the Selection of the Most Suitable Multiple Sequence Alignment Methodology. Current Bioinformatics, 10(2), 199-207 (2015).[LINK]

Ortuño, F.M., Rojas, I.: Editorial - Thematic Issue: Special Issue of IWBBIO 2013 in Current Bioinformatics. Current Bioinformatics, 10(2), 122-123 (2015).[LINK]

Torres, C., Linares, A., Alejandre, M.J., Martin, M., Palomino, R., Caba, O., Prados, J.C., Aranega, A., Delgado, J.R., Irigoyen, A., Martinez, J., Ortuño, F.M., Rojas, I., Perales, S.: Prognosis Relevance of Serum Cytokines in Pancreatic Cancer. BioMed Research International, 2015:518284 (2015). [LINK]

Ortuño, F.M., Torres, C., Glosekotter, P., Rojas, I.: New trends in biomedical engineering and bioinformatics applied to biomedicine - special issue of IWBBIO 2014. BioMedical Engineering OnLine, 14(Suppl 2):I1 (2015).[LINK]

2014:

Torres, C., Linares, A., Alejandre, M.J., Martin, M., Palomino, R., Caba, O., Prados, J.C., Aranega, A., Delgado, J.R., Irigoyen, A., Martinez, J., Ortuño, F.M., Rojas, I., Perales, S.: Prognosis Relevance of Serum Cytokines in Pancreatic Cancer. The Scientific World Journal (In-press) (2014). [LINK]

Torres, C., Perales, S., Alejandre, M.J., Iglesias, J., Palomino, R., Martin, M., Caba, O., Prados, J.C., Aranega, A., Delgado, J.R., Irigoyen, A., Ortuño, F.M., Rojas, I., Linares, A.: Serum Cytokine Profile in Patients with Pancreatic Cancer. Pancreas, 43(7) 1042-1049 (2014). [LINK]

Ortuño, F.M., Rojas, I.: Advances in bioinformatics and biomedical engineering - special issue of IWBBIO 2013. Theoretical Biology and Medical Modelling, 11(Suppl 1), I1 (2014). [LINK]

2013:

Ortuño, F.M., Valenzuela, O., Rojas, F., Pomares, H., Florido, J.P., Urquiza, J.M., Rojas, I.: Optimizing multiple sequence alignments using a genetic algorithm based on three objectives: structural information, non-gaps percentage and totally conserved columns. Bioinformatics 29, 2112-2121 (2013).[LINK]

Florido, J.P., Pomares, H., Rojas, H., Guillen, A., Ortuño, F.M., Urquiza, J.M.: 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, 121, 64-78 (2013). [LINK]

Ortuño, F.M., Rojas, I., Andrade-Navarro, M.A., Fontaine, J.-F.: Using cited references to improve the retrieval of related biomedical documents. BMC Bioinformatics 14, (2013).[LINK]

Ortuño, F.M., Valenzuela, O., Pomares, H., Rojas, F., Florido, J.P., Urquiza, J.M., Rojas, I.: Predicting the accuracy of multiple sequence alignment algorithms by using computational intelligent techniques. Nucleic Acids Research 41, e26 (2013).[LINK]

Ortuño, F.M.: Development of Advanced ComputationalSystems for Multiple Sequence Alignments by using Heterogeneous Biological Information PhD Thesis, University of Granada Granada (Spain)(2014).[LINK]

2014:

Ortuño, F.M., Pomares, H., Rojas, I., Valenzuela, O.: Creation of a Database Including a Set of Biological Features Related to Protein Sequences and Their Corresponding Alignment. IEEE 27th International Symposium on Computer-Based Medical Systems (CBMS), 557-558 (2014). [LINK]

Valenzuela, O., Rojas, F., Ortuño, F.M., Bernier, J.L., Saez-Lara, M.J., San-Roman, B., Herrera, L.J., Guillen, A., Rojas, I.: Advanced Soft-Computing techniques and Clustering Algorithm for Gene Expression Microarray Data Classification. 2nd International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO), 2, 1634-1643 (2014). [LINK]

Valenzuela, O., San-Roman, B., Ortuño, F.M., Bernier, J.L., Saez-Lara, M.J., Rojas, F., Rojas, I.: Development of Soft-Computing techniques capable of diagnosing Alzheimers Disease in its pre-clinical stage combining MRI and FDG-PET. 2nd International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO), 2, 1644-1650 (2014). [LINK]

2013:

Valenzuela, O., Rojas, F., Herrera, L.J., Ortuño, F.M., Baños, O., Ruiz, G., Tribak, H., Pomares, H., Rojas, I.: Intelligent Systems to Autonomously Classify Several Arrhythmia Using Information from ECG. IEEE International Conference on Social Computing (SocialCom), 1038-1045 (2013). [LINK]

Ortuño, F.M., Valenzuela, O., Pomares, H., Rojas, I.: Evaluating multiple sequence alignments using a LS-SVM approach with a heterogeneous set of biological features. Advances in Computational Intelligence (IWANN 2013) , vol. 7903, 150-158 (2013).[LINK]

Valenzuela, O., Ortuño, F.M., Rojas, F., Pomares, H., Bernier, J.L., Herrera, L.J., Guillen, A.: Using intelligent system for medical decision-making to magnetic resonance imaging. Proceedings of 1st International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO), 205-214 (2013). [LINK]

Ortuño, F.M., Valenzuela, O., Pomares, H., Rojas, I.: Determining the most suitable multiple sequence alignment methodology by using a set of heterogeneous biological features. Proceedings of 1st International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO), 283-288 (2013). [LINK]

Valenzuela, O., Pasadas, M., Ortuño, F.M., Rojas, I.: Optimal knots allocation in smoothing splines using intelligent system. Application in biomedical signal processing. Proceedings of 1st International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO), 289-295 (2013). [LINK]

2012:

Ortuño, F.M., Florido, J.P., Urquiza, J.M., Pomares, H., Prieto, A., Rojas, I.: Optimization of multiple sequence alignment methodologies using a multiobjective evolutionary algorithm based on NSGA-II. IEEE Congress on Evolutionary Computation (CEC) (2012).[LINK]

Torres, C., Romero, S.P., Morales, R.P., Perez, M.J.A., Gomez, J.I., Caba, O., Prados, J.C., Aranega, A., Delgado, J.R., Irigoyen, A., Ortuño, F.M., Gil, A.L.: Cytokines profile expression in pancreatic cancer patients. FEBS Conference 279, 228-228 (2012).

2011:

Florido, J.P., Pomares, H., Rojas, I., Urquiza, J.M., Ortuño, F.M.: Prediction of functional associations between proteins by means of a cost-sensitive artificial neural network. Advances in Computational Intelligence (IWANN 2011), vol. 6692, 194-201 (2011).[LINK]

Ortuño, F.M., Rojas, I., Pomares, H., Urquiza, J.M., Florido, J.P.: Emerging methodologies in multiple sequence alignment using high throughput data. 5th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACCB 2011) 93, 183-190 (2011).[LINK]

Urquiza, J.M., Rojas, I., Pomares, H., Herrera, L.J., Florido, J.P., Ortuño, F.M.: Using machine learning techniques and genomic/proteomic information from known databases for PPI prediction. 5th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACCB 2011) 93, 373-380 (2011).[LINK]