Now showing items 1-3 of 3

    • Machine Learning Algorithms Reveals Country-Specific Metagenomic Taxa from American Gut Project Data 

      Liñares Blanco, Jose; Fernández-Lozano, Carlos; Seoane Fernández, José Antonio; López-Campos, Guillermo (NLM (Medline), 2021)
      [Abstract] In recent years, microbiota has become an increasingly relevant factor for the understanding and potential treatment of diseases. In this work, based on the data reported by the largest study of microbioma in ...
    • Machine Learning Based Microbiome Signature to Predict Inflammatory Bowel Disease Subtypes 

      Liñares Blanco, Jose; Fernández-Lozano, Carlos; Seoane Fernández, José Antonio; López-Campos, Guillermo (FRONTIERS MEDIA S.A., 2022)
      [Abstract] Inflammatory bowel disease (IBD) is a chronic disease with unknown pathophysiological mechanisms. There is evidence of the role of microorganims in this disease development. Thanks to the open access to multiple ...
    • Nanoinformatics: Developing New Computing Applications for Nanomedicine 

      Maojo, Víctor; Fritts, Martin; Martín Sánchez, Fernando; Iglesia, Diana de la; Cachau, Raul E.; García-Remesal, Miguel; Crespo, José; Mitchell, Joyce A.; Anguita, Alberto; Baker, Nathan; Barreiro, José María; Benítez, Sonia E.; Calle, Guillermo de la; Facelli, Julio C.; Ghazal, Peter; Geissbuhler, Antoine; González-Nilo, Fernando; Graf, Norbert; Grangeat, Pierre; Hermosilla, Isabel; Hussein, Rada; Kern, Josipa; Koch, Sabine; Legre, Yannick; López-Alonso, Victoria; López-Campos, Guillermo; Milanesi, Luciano; Moustakis, Vassilis; Munteanu, Cristian-Robert; Otero, Paula; Pazos, A.; Pérez-Rey, David; Potamias, George; Sanz, Ferrán; Kulikowski, Casimir (Springer, 2012)
      Nanoinformatics has recently emerged to address the need of computing applications at the nano level. In this regard, the authors have participated in various initiatives to identify its concepts, foundations and challenges. ...