Recent Submissions

  • Time-frequency features for impedance cardiography signals during anesthesia using different distribution kernels 

    Escrivá, Jesús; Gambus, Pedro L.; Jensen, Erik Weber; Vallverdú Ferrer, Montserrat (2018-01-23)
    Article
    Open Access
    Objective: This works investigates the time-frequency content of impedance cardiography signals during a propofol-remifentanil anesthesia. Materials and Methods: In the last years, impedance cardiography (ICG) is a ...
  • Assessment of heart rate variability during an ultra-endurance mountain trail race by multi-scale entropy analysis 

    Vallverdú Ferrer, Montserrat; Ruiz Muñoz, Aroa; Roca Rodríguez, Emma; Caminal Magrans, Pere; Rodríguez Guisado, Ferran Agustin; Irurtia Amigo, Alfredo; Perera Lluna, Alexandre (2017-12-01)
    Article
    Open Access
    The aim of the study was to analyze heart rate variability (HRV) response to high-intensity exercise during a 35-km mountain trail race and to ascertain whether fitness level could influence autonomic nervous system (ANS) ...
  • diffuStats: an R package to compute diffusion-based scores on biological networks 

    Picart Armada, Sergio; Thompson, Wesley; Buil, Alfonso; Perera Lluna, Alexandre (2018-02-01)
    Article
    Restricted access - publisher's policy
    Label propagation and diffusion over biological networks are a common mathematical formalism in computational biology for giving context to molecular entities and prioritising novel candidates in the area of study. There ...
  • Assessment of heart rate variability during an endurance mountain trail race by multi-scale entropy analysis 

    Vallverdú Ferrer, Montserrat; Ruiz Muñoz, Aroa; Roca Rodríguez, Emma; Caminal Magrans, Pere; Rodríguez Guisado, Ferran Agustin; Irurtia Amigo, Alfredo; Perera Lluna, Alexandre (2017-12-01)
    Article
    Open Access
    © 2017 by the authors. The aim of the study was to analyze heart rate variability (HRV) response to high-intensity exercise during a 35-km mountain trail race and to ascertain whether fitness level could influence autonomic ...
  • Multiview and multifeature spectral clustering using common eigenvectors 

    Kanaan Izquierdo, Samir; Ziyatdinov, Andrey; Perera Lluna, Alexandre (Elsevier, 2018-01-15)
    Article
    Restricted access - publisher's policy
    An ever-increasing number of data analysis problems include more than one view of the data, i.e. differ- ent measurement approaches to the population under study. In consequence, pattern analysis methods that deal ...
  • Null diffusion-based enrichment for metabolomics data 

    Picart Armada, Sergio; Fernández Albert, Francesc; Vinaixa, Maria; Rodríguez Hernandez, Miguel A.; Aivio, Suvi; Stracker, Travis H.; Yanes Torrado, Óscar; Perera Lluna, Alexandre (2017-12-06)
    Article
    Open Access
    Metabolomics experiments identify metabolites whose abundance varies as the conditions under study change. Pathway enrichment tools help in the identification of key metabolic processes and in building a plausible biological ...
  • Affected pathways and transcriptional regulators in gene expression response to an ultra-marathon trail: Global and independent activity approaches 

    Maqueda González, María de los Ángeles; Roca, Emma; Brotons Cuixart, Daniel; Soria, Jose Manuel; Perera Lluna, Alexandre (2017-10-13)
    Article
    Open Access
    Gene expression (GE) analyses on blood samples from marathon and half-marathon runners have reported significant impacts on the immune and inflammatory systems. An ultra-marathon trail (UMT) represents a greater effort due ...
  • How to merge observational and physiological data? A case study of motor skills patterns and heart rate in exercise programs for adult women 

    Castañer Balcells, Marta; Puigarnau, Sílvia; Benítez Iglesias, Raúl; Zurloni, Valentino; Camerino, Oleguer (2017-10-01)
    Article
    Open Access
    The present study analyzes individual and group heart rate responses in exercising adult women. The specific aim was to compare responses during routine workout sessions within a community exercise program with responses ...
  • Baitmet, a computational approach for GC–MS library-driven metabolite profiling 

    Domingo, Xavier; Brezmes, Jesus; Venturini, G; Vivó-Truyols, Gabriel; Perera Lluna, Alexandre; Vinaixa, Maria (2017-06-24)
    Article
    Restricted access - publisher's policy
    Current computational tools for gas chromatography – mass spectrometry (GC – MS) metabolomics profiling do not focus on metabolite identification, that still remains as the entire workflow bottleneck and it relies on manual ...
  • DNA methylation profiling unveils TGF-ß hyperresponse in tumor associated fibroblasts from lung cancer patients 

    Vizioso, Miguel; Puig, Marta; Carmona, F. Javier; Maqueda González, María de los Ángeles; Gomez, Antonio; Labernardie, nna; Gabasa, Marta; Mendizuri, Saloa; Ikemori, Rafael; Trepat Guixer, Xavier; Moran, Sebastian; Vidal, Enrique; Reguart, Noemí; Perera Lluna, Alexandre; Esteller, Manel; Alcaraz, Jordi (2016-07-22)
    Article
    Open Access
    There is growing interest in defining the aberrant molecular differences between normal and tumor-associated fibroblasts (TAFs) that support tumor progression. For this purpose, we recently conducted a genome-wide DNA ...
  • Early prediction of Alzheimer's disease using null longitudinal model-based classifiers 

    Gavidia Bovadilla, Giovana Elizabeth; Kanaan Izquierdo, Samir; Mataro Serrat, Maria; Perera Lluna, Alexandre (2017-01-03)
    Article
    Open Access
    Incipient Alzheimer’s Disease (AD) is characterized by a slow onset of clinical symptoms, with pathological brain changes starting several years earlier. Consequently, it is necessary to first understand and differentiate ...
  • Solarius: an R interface to SOLAR for variance component analysis in pedigrees 

    Ziyatdinov, Andrey; Brunel, Helena; Martinez Perez, Angel; Buil, Alfonso; Perera Lluna, Alexandre; Soria, José Manuel (2016-02-15)
    Article
    Open Access
    The open source environment R is one of the most widely used software for statistical computing. It provides a variety of applications including statistical genetics. Most of the powerful tools for quantitative genetic ...

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