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Disambiguation of "Guzman, Francisco M. Ortuño"

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Comparing different machine learning and mathematical regression models to evaluate multiple sequence alignments.

, , , , , , and . Neurocomputing, (2015)

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Francisco Digón Guzmán

Felipe Ortuño

Daniel Ortuño-Stühring

Carlos Guzmán

Asja Guzman

 

Other publications of authors with the same name

Advances in bioinformatics using soft-computing paradigms., , , , , , , , and . IWBBIO, page 1634-1643. Copicentro Editorial, (2014)Using cited references to improve the retrieval of related biomedical documents., , , and . BMC Bioinform., (2013)Optimization of multiple sequence alignment methodologies using a multiobjective evolutionary algorithm based on NSGA-II., , , , , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2012)Creation of a Database Including a Set of Biological Features Related to Protein Sequences and Their Corresponding Alignment., , , and . CBMS, page 557-558. IEEE Computer Society, (2014)Using intelligent system for medical decision-making to magnetic resonance imaging., , , , , , and . IWBBIO, page 205-214. Copicentro Editorial, (2013)Determining the most suitable multiple sequence alignment methodology by using a set of heterogeneous biological features., , , and . IWBBIO, page 283-288. Copicentro Editorial, (2013)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., , , , , and . Neurocomputing, (2013)Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets., , , , , , , and . IEEE J. Biomed. Health Informatics, 24 (7): 2119-2130 (2020)Integrative gene expression analysis of lung cancer based on a technology-merging approach., , and . EUROCON, page 1-5. IEEE, (2015)Prediction of Functional Associations between Proteins by Means of a Cost-Sensitive Artificial Neural Network., , , , and . IWANN (2), volume 6692 of Lecture Notes in Computer Science, page 194-201. Springer, (2011)