Browsing by Author "Perera Lluna, Alexandre"
Now showing items 1-20 of 82
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A new gene-based association test for genome-wide association studies
(2009-12-15)
Article
Open AccessGenome-wide association studies are widely used today to discover genetic factors that modify the risk of complex diseases. Usually, these methods work in a SNP-by-SNP fashion. We present a gene-based test that can be ... -
A software tool for large-scale synthetic experiments based on polymeric sensor arrays
(2013-02-01)
Article
Restricted access - publisher's policy -
Aberrant DNA methylation in non-small cell lung cancer-associated fibroblasts
(2015-12-01)
Article
Restricted access - publisher's policyDNA methylation profiling of TAFs reveals global demethylation and a selective impact on the TGF-beta pathway. Moreover, it suggests the fibrocyte origin of a fraction of TAFs, and identifies a novel prognostic biomarker ... -
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 ... -
Algoritmo de búsqueda de secuencias cis-regulatorias basado en el análisis del incremento de la información mediante la divergencia de Rényi
(2011)
Conference lecture
Open Access -
Amitriptyline at an environmentally relevant concentration alters the profile of metabolites beyond monoamines in gilt-head bream
(2019-01-31)
Article
Open AccessThe antidepressant amitriptyline is a widely used selective serotonin reuptake inhibitor that is found in the aquatic environment. The present work investigates alterations in the brain and liver metabolome of gilt-head ... -
An information theory-based tool for characterizing the interaction environment of a protein
(2010)
Conference lecture
Open AccessIn recent years large amounts of information have been accumulated in proteomic, genetic and metabolic databases. Much effort has been dedicated to developing methods that successfully exploit, organize and structure this ... -
An R package to analyse LC/MS metabolomic data: MAIT (Metabolite Automatic Identification Toolkit).
(2014-03-17)
Article
Restricted access - publisher's policy -
Analysis of ECG in athletes running in mountain route conditions
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference report
Open AccessThe purpose of this work is to analyse changes in ECG and heart rate variability (HRV) metrics in athletes during 10 km running in mountain route conditions. Eighteen healthy athletes carrying a 12-lead ECG GE Holter ... -
Analysis of incomplete gene expression dataset through protein-protein interaction information
(2011)
Conference report
Restricted access - publisher's policyThis paper shows a graph based method to analyze proteomic expression data. The method allows the prediction of the expression of genes not measured by the gene expression technology based on the local connectivity properties ... -
Applicability of semi-supervised learning assumptions for gene ontology terms prediction
(2016-06-01)
Article
Open AccessGene 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 ... -
Applying learning analytics to students’ interaction in business simulation games. The usefulness of learning analytics to know what students really learn
(Elsevier, 2018-03-03)
Article
Open AccessNowadays, different ways of communication and interaction among multiple actors are dominating learning processes. However, there are critical opinions that question the contribution of student interaction to real learning. ... -
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 ... -
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) ... -
Automated resolution of chromatographic signals by independent component analysis-orthogonal signal deconvolution in comprehensive gas chromatography/mass spectrometry-based metabolomics
(2016-07-01)
Article
Open AccessComprehensive gas chromatography-mass spectrometry (GC x GC-MS) provides a different perspective in metabolomics profiling of samples. However, algorithms for GCx GC-MS data processing are needed in order to automatically ... -
Avoiding hard chromatographic segmentation: A moving window approach for the automated resolution of gas chromatography–mass spectrometry-based metabolomics signals by multivariate methods
(2016-11-25)
Article
Open AccessGas chromatography–mass spectrometry (GC–MS) produces large and complex datasets characterized by co-eluted compounds and at trace levels, and with a distinct compound ion-redundancy as a result of the high fragmentation ... -
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 ... -
Balancing data on deep learning-based proteochemometric activity classification
(2021-01-01)
Article
Restricted access - publisher's policyIn silico analysis of biological activity data has become an essential technique in pharmaceutical development. Specifically, the so-called proteochemometric models aim to share information between targets in machine ... -
Benchmarking network propagation methods for disease gene identification
(2019-09-01)
Article
Open AccessIn-silico identification of potential target genes for disease is an essential aspect of drug target discovery. Recent studies suggest that successful targets can be found through by leveraging genetic, genomic and protein ... -
Bioinspired early detection through gas flow modulation in chemo-sensory systems
(2015-01-01)
Article
Open AccessThe design of bioinspired systems for chemical sensing is an engaging line of research in machine olfaction. Developments in this line could increase the lifetime and sensitivity of artificial chemo-sensory systems. Such ...
