Listar GI-RNASA - Artigos por autor "Pedreira Souto, Nieves"
Mostrando ítems 1-9 de 9
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A New Evolutionary Computation Technique for 2D: Morphogenesis and Information Processing
Fernández-Blanco, Enrique; Dorado, Julián; Rabuñal, Juan R.; Gestal, M.; Pedreira Souto, Nieves (WSEAS Press, 2007-03)[Abstract] Paper presents a new model that takes the behaviour of biological cells and tries to adapt some of their characteristics to the artificial cells in order to solve computational problems. This model can be related ... -
Approach of Agile Methodologies in the Development of Web-Based Software
Molina Ríos, Jimmy Rolando; Pedreira Souto, Nieves (MDPI, 2019)[Abstract]: The current inclusion of agile methodologies in web-oriented projects has been considered on a large-scale by software developers. However, the benefits and limitations go beyond the comforts that project ... -
Comparativa de metodologías de desarrollo de aplicaciones móviles
Molina Ríos, Jimmy Rolando; Honores Tapia, Joofre Antonio; Pedreira Souto, Nieves; Pardo, Henry (3Ciencias, 2021)[Resumen] El desarrollo de aplicaciones móviles en la actualidad tiene una gran aceptación gracias al avance de la tecnología y producción de toda clase de dispositivos que permiten a los usuarios realizar tareas ... -
Estado del arte: metodologías de desarrollo de aplicaciones móviles
Molina Ríos, Jimmy Rolando; Honores Tapia, Joofre Antonio; Pedreira Souto, Nieves; Pardo, Henry (3Ciencias, 2021)[Resumen] Desde el origen de la telefonía celular, el desarrollo de aplicaciones móviles ha crecido de manera exponencial abriendo un nuevo campo de investigación en la rama de la ingeniería de software. La necesidad ... -
Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning
Munteanu, Cristian-Robert; Gestal, M.; Martínez-Acevedo, Yunuen G.; Pazos, A.; Dorado, Julián; Pedreira Souto, Nieves (MDPI, 2019)[Abstract] In this work, we improved a previous model used for the prediction of proteomes as new B-cell epitopes in vaccine design. The predicted epitope activity of a queried peptide is based on its sequence, a known ... -
Improving Enzyme Regulatory Protein Classification by Means of SVM-RFE Feature Selection
Fernández-Lozano, Carlos; Fernández-Blanco, Enrique; Dave, Kirtan; Pedreira Souto, Nieves; Gestal, M.; Dorado, Julián; Munteanu, Cristian-Robert (Royal Society of Chemistry, 2014-01-14)[Abstract] Enzyme regulation proteins are very important due to their involvement in many biological processes that sustain life. The complexity of these proteins, the impossibility of identifying direct quantification ... -
Kernel-Based Feature Selection Techniques for Transport Proteins Based on Star Graph Topological Indices
Fernández-Lozano, Carlos; Gestal, M.; Pedreira Souto, Nieves; Postelnicu, Lucian; Dorado, Julián; Munteanu, Cristian-Robert (Bentham, 2013)[Abstract] The transport of the molecules inside cells is a very important topic, especially in Drug Metabolism. The experimental testing of the new proteins for the transporter molecular function is expensive and inefficient ... -
LECTINPred: web server that uses complex networks of protein structure for prediction of lectins with potential use as cancer biomarkers or in parasite vaccine design
Munteanu, Cristian-Robert; Pedreira Souto, Nieves; Dorado, Julián; Pazos, A.; Pérez-Montoto, Lázaro G.; Ubeira, Florencio; González-Díaz, Humberto (Wiley, 2014-03-18) -
Machine learning classification models for fetal skeletal development performance prediction using maternal bone metabolic proteins in goats
Liu, Yong; Munteanu, Cristian-Robert; Yan, Qiongxian; Pedreira Souto, Nieves; Kang, Jinhe; Tang, Shaoxun; Zhou, Chuanshe; He, Zhixiong; Tan, Zhiliang (PeerJ, 2019-10)[Abstract]: Background In developing countries, maternal undernutrition is the major intrauterine environmental factor contributing to fetal development and adverse pregnancy outcomes. Maternal nutrition restriction ...