Mostrando ítems 26-30 de 46

    • Ontologies in medicinal chemistry: current status and future challenges 

      Gómez-Pérez, Asunción; Martínez-Romero, Marcos; Rodríguez-González, Alejandro; Vázquez, Guillermo; Vázquez-Naya, José (Bentham Science, 2013)
      [Abstract] Recent years have seen a dramatic increase in the amount and availability of data in the diverse areas of medicinal chemistry, making it possible to achieve significant advances in fields such as the design, ...
    • 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 ...
    • 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 ...
    • Data analysis in chemistry and bio-medical sciences 

      Todeschini, Roberto; Pazos, A.; Arrasate, Sonia; González-Díaz, Humberto (MPDI, 2016-12-14)
    • Experimental study and random forest prediction model of microbiome cell surface hydrophobicity 

      Liu, Yong; Tang, Shaoxun; Fernández-Lozano, Carlos; Munteanu, Cristian-Robert; Pazos, A.; Yu, Yi-zun; Tan, Zhiliang; González-Díaz, Humberto (Elsevier, 2016-11-09)
      [Abstract] The cell surface hydrophobicity (CSH) is an assessable physicochemical property used to evaluate the microbial adhesion to the surface of biomaterials, which is an essential step in the microbial biofilm formation ...