• A review on machine learning approaches and trends in drug discovery 

      Carracedo-Reboredo, Paula; Liñares Blanco, Jose; Rodríguez-Fernández, Nereida; Cedrón, Francisco; Novoa, Francisco; Carballal, Adrián; Maojo, Víctor; Pazos, A.; Fernández-Lozano, Carlos (Research Network of Computational and Structural Biotechnology, 2021)
      Abstract: Drug discovery aims at finding new compounds with specific chemical properties for the treatment of diseases. In the last years, the approach used in this search presents an important component in computer science ...
    • Artificial Neuron–Glia Networks Learning Approach Based on Cooperative Coevolution 

      Fernández-Blanco, Enrique; Cedrón, Francisco; Pazos, A.; Porto-Pazos, Ana B.; Mesejo, Pablo; Ibáñez, Oscar (World Scientific, 2015-04-06)
      [Abstract] Artificial Neuron–Glia Networks (ANGNs) are a novel bio-inspired machine learning approach. They extend classical Artificial Neural Networks (ANNs) by incorporating recent findings and suppositions about the way ...
    • Deep Artificial Neural Networks and Neuromorphic Chips for Big Data Analysis: Pharmaceutical and Bioinformatics Applications 

      Pastur-Romay, L.A.; Cedrón, Francisco; Pazos, A.; Porto-Pazos, Ana B. (MDPI, 2016-08-11)
      [Abstract] Over the past decade, Deep Artificial Neural Networks (DNNs) have become the state-of-the-art algorithms in Machine Learning (ML), speech recognition, computer vision, natural language processing and many other ...
    • First Multiplatform Application for Pharmacies in Spain, Which Guides the Prescription of Probiotics According to Pathology 

      Álvarez-González, S.; Rodríguez Fernández, Jose Antonio; Porto-Pazos, Ana B.; Pazos, A.; Cedrón, Francisco (MDPI, 2021-02-09)
      [Abstract] The study of the intestinal microbiota is one of the biggest challenges in the current clinical environment. In this context, probiotics have been a focus of interest to achieve the stability of the intestinal ...
    • Parallel computing for brain simulation 

      Pastur-Romay, L.A.; Porto-Pazos, Ana B.; Cedrón, Francisco; Pazos, A. (Bentham Science, 2017-05-01)
      [Abstract] Background: The human brain is the most complex system in the known universe, it is therefore one of the greatest mysteries. It provides human beings with extraordinary abilities. However, until now it has not ...
    • 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 ...