Listar por autor "Dorado, Julián"
Mostrando ítems 21-40 de 40
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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 ... -
Integrative Multi-Omics Data-Driven Approach for Metastasis Prediction in Cancer
Fernández-Lozano, Carlos; Liñares Blanco, José; Gestal, M.; Dorado, Julián; Pazos, A. (ACM, 2018)[Abstract] Nowadays biomedical research is generating huge amounts of omic data, covering all levels of genetic information from nucleotide sequencing to protein metabolism. In the beginning, data were analyzed independently ... -
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 Techniques for Single Nucleotide Polymorphism—Disease Classification Models in Schizophrenia
Aguiar-Pulido, Vanessa; Seoane, José A.; Rabuñal, Juan R.; Dorado, Julián; Pazos, A.; Munteanu, Cristian-Robert (Molecular Diversity Preservation International, 2010)[Abstract] Single nucleotide polymorphisms (SNPs) can be used as inputs in disease computational studies such as pattern searching and classification models. Schizophrenia is an example of a complex disease with an important ... -
Machine Learning-Based Radon Monitoring System
Valcarce, Diego; Alvarellos, Alberto; Rabuñal, Juan R.; Dorado, Julián; Gestal, M. (MDPI, 2022)[Abstract] Radon (Rn) is a biological threat to cells due to its radioactivity. It is capable of penetrating the human body and damaging cellular DNA, causing mutations and interfering with cellular dynamics. Human exposure ... -
Markov Mean Properties for Cell Death-Related Protein Classification
Fernández-Lozano, Carlos; Gestal, M.; González-Díaz, Humberto; Dorado, Julián; Pazos, A.; Munteanu, Cristian-Robert (Elsevier, 2014-01-31)[Abstract] The cell death (CD) is a dynamic biological function involved in physiological and pathological processes. Due to the complexity of CD, there is a demand for fast theoretical methods that can help to find new ... -
Mejora continua de la calidad de la docencia a partir del análisis de los resultados de evaluación
Gestal, M.; Fernán, Carlos; Munteanu, Cristian-Robert; Rabuñal, Juan R.; Dorado, Julián (Asociación de Enseñantes Universitarios de la Informática (AENUI), 2018)[Resumen] El objetivo de cualquier docente debería ser la mejora continua en sus materias. En este trabajo se muestra una aproximación para adecuar las enseñanzas a aquellos aspectos más necesarios dentro de una materia. ... -
Modelo de un sistema para la selección automática en dominios complejos con una estrategia cooperativa, de conjuntos de entrenamiento y arquitecturas ideales de redes de neuronas artificiales ulilizando alogaritmos genéticos
Dorado, Julián (1999)[Resumen] Esta tesis estudia el desarrollo de un modelo de sistema evolutivo y distribuido para la automatización y optimización de la construcción de RR,NN.AA. que se apliquen a dominios complejos. Los trabajos de ... -
Net-Net AutoML Selection of Artificial Neural Network Topology for Brain Connectome Prediction
Barreiro, Enrique; Munteanu, Cristian-Robert; Gestal, M.; Rabuñal, Juan R.; Pazos, A.; González-Díaz, Humberto; Dorado, Julián (MDPI, 2020-02-14)[Abstract] Brain Connectome Networks (BCNs) are defined by brain cortex regions (nodes) interacting with others by electrophysiological co-activation (edges). The experimental prediction of new interactions in BCNs ... -
Obtendo información útil para a mellora dunha materia a partir dos resultados dos exames de resposta múltiple
Gestal, M.; Munteanu, Cristian-Robert; Rabuñal, Juan R.; Dorado, Julián (Universidade da Coruña, Cufie, 2019)[Resumo] Os procesos de avaliación, deben aplicarse ós docentes e mesmo á materia en si, non só ós alumnos. Con esta finalidade formúlase unha análise dos resultados acadados polo alumnado durante a proba de avaliación ... -
Random Forest Classification Based on Star Graph Topological Indices for Antioxidant Proteins
Fernández-Blanco, Enrique; Aguiar-Pulido, Vanessa; Munteanu, Cristian-Robert; Dorado, Julián (Elsevier, 2012-10-29)[Abstract] Aging and life quality is an important research topic nowadays in areas such as life sciences, chemistry, pharmacology, etc. People live longer, and, thus, they want to spend that extra time with a better quality ... -
Re-Identification of Rats with Transfer Learning
Molares-Ulloa, Andrés; Ortega-Femia, Maria del Rocio; Dorado, Julián; Pedreira Souto, Nieves; Rodriguez, Alvaro (Universidade da Coruña, Servizo de Publicacións, 2023)[Abstract] The study of animal behavior in laboratory experiments is key in ethology, ecotoxicology, neuroscience and other fields. Although modern studies use computer imaging techniques, current solutions cannot preserve ... -
SNP locator: a candidate SNP selection tool
Seoane, José A.; Aguiar-Pulido, Vanessa; Cabarcos, Alba; Quintela, Sonsoles; Rabuñal, Juan R.; Dorado, Julián (Inderscience, 2013)[Abstract] In this work, a data integration approach using a federated model based on a service oriented architecture (SOA) is presented. The BioMOBY middleware was used to implement each service which is part of the ... -
Texture Analysis in Gel Electrophoresis Images Using an Integrative Kernel-Based Approach
Fernández-Lozano, Carlos; Seoane, José A.; Gestal, M.; Gaunt, Tom R.; Dorado, Julián; Pazos, A.; Campbell, Colin (Nature, 2016-01-13)[Abstract] Texture information could be used in proteomics to improve the quality of the image analysis of proteins separated on a gel. In order to evaluate the best technique to identify relevant textures, we use several ... -
Texture classification of proteins using support vector machines and bio-inspired metaheuristics
Seoane, José A.; Mesejo, Pablo; Nashed, Youssef S.; Cagnoni, Stefano; Dorado, Julián; Fernández-Lozano, Carlos (Springer, 2014-11-02)[Abstract] In this paper, a novel classification method of two-dimensional polyacrylamide gel electrophoresis images is presented. Such a method uses textural features obtained by means of a feature selection process for ... -
Técnicas inteligentes de recuperación y análisis de la información
Dorado, Julián (Universidade da Coruña, 2011) -
The CHROMEVALOA Database: A Resource for the Evaluation of Okadaic Acid Contamination in the Marine Environment Based on the Chromatin-Associated Transcriptome of the Mussel Mytilus galloprovincialis
Suárez-Ulloa, Victoria; Fernández-Tajes, Juan; Aguiar-Pulido, Vanessa; Rivera-Casas, Ciro; González-Romero, Rodrigo; Ausio, Juan; Méndez, Josefina; Dorado, Julián; Eirín-López, J.M.Okadaic Acid (OA) constitutes the main active principle in Diarrhetic Shellfish Poisoning (DSP) toxins produced during Harmful Algal Blooms (HABs), representing a serious threat for human consumers of edible shellfish. ... -
Two-Dimensional Gel Electrophoresis Image Registration Using Block-Matching Techniques and Deformation Models
Rodriguez, Alvaro; Fernández-Lozano, Carlos; Dorado, Julián; Rabuñal, Juan R. (Elsevier, 2014-03-05)[Abstract] Block-matching techniques have been widely used in the task of estimating displacement in medical images, and they represent the best approach in scenes with deformable structures such as tissues, fluids, and ... -
Using Genetic Algorithms to Improve Support Vector Regression in the Analysis of Atomic Spectra of Lubricant Oils
Fernández-Lozano, Carlos; Cedrón, Francisco; Rivero, Daniel; Dorado, Julián; Andrade-Garda, José Manuel; Pazos, A.; Gestal, M. (Emerald, 2016-06)[Abstract] Purpose – The purpose of this paper is to assess the quality of commercial lubricant oils. A spectroscopic method was used in combination with multivariate regression techniques (ordinary multivariate ...