Enviaments recents

  • 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
    Accés restringit per política de l'editorial
    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
    Accés obert
    © 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
    Accés restringit per política de l'editorial
    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
    Accés obert
    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
    Accés obert
    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
    Accés obert
    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
    Accés restringit per política de l'editorial
    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
    Accés obert
    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
    Accés obert
    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
    Accés obert
    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 ...
  • The Central role of KNG1 gene as a genetic determinant of coagulation pathway-related traits: Exploring metaphenotypes 

    Brunel, Helena; Massanet, Raimon; Martinez Perez, Angel; Ziyatdinov, Andrey; Martin-Fernandez, Laura; Souto, Juan Carlos; Perera Lluna, Alexandre; Soria, José Manuel (2016-12-22)
    Article
    Accés obert
    Traditional genetic studies of single traits may be unable to detect the pleiotropic effects involved in complex diseases. To detect the correlation that exists between several phenotypes involved in the same ...
  • Applicability of semi-supervised learning assumptions for gene ontology terms prediction 

    Jaramillo-Garzón, Jorge Alberto; Castellanos, Cesar German; Perera Lluna, Alexandre (2016-06-01)
    Article
    Accés obert
    Gene Ontology (GO) is one of the most important resources in bioinformatics, aiming to provide a unified framework for the biological annotation of genes and proteins across all species. Predicting GO terms is an essential ...

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