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Time-frequency features for impedance cardiography signals during anesthesia using different distribution kernels
(2018-01-23)
Article
Open AccessObjective: 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
(2017-12-01)
Article
Open AccessThe 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
(2018-02-01)
Article
Open AccessLabel 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
(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
(Elsevier, 2018-01-15)
Article
Open AccessAn 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
(2017-12-06)
Article
Open AccessMetabolomics 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
(2017-10-13)
Article
Open AccessGene 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
(2017-10-01)
Article
Open AccessThe 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
(2017-06-24)
Article
Open AccessCurrent 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
(2016-07-22)
Article
Open AccessThere 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
(2017-01-03)
Article
Open AccessIncipient 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
(2016-02-15)
Article
Open AccessThe 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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