Listar GI-RNASA - Artigos por autor "Dorado, Julián"

Mostrando ítems 21-27 de 27

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 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 ...

    • 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 ...