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Determining the most suitable multiple sequence alignment methodology by using a set of heterogeneous biological features.

, , , и . IWBBIO, стр. 283-288. Copicentro Editorial, (2013)

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Francisco Digón Guzmán

Felipe Ortuño

Daniel Ortuño-Stühring

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Asja Guzman

 

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