Exploració per autor "Perera Lluna, Alexandre"
Ara es mostren els items 57-76 de 84
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Longitudinal deep learning clustering of Type 2 Diabetes Mellitus trajectories using routinely collected health records
Manzini, Enrico; Vlacho, Bogdan; Franch Nadal, Josep; Escudero, Joan; Génova Tesoro, Ana; Reixach Espaulella, Elisenda; Andrés Reig, Erik; Pizarro Paixá, Israel; Portero Sobrino, Joan Miquel; Mauricio Puente, Dídac; Perera Lluna, Alexandre (2022-10-03)
Article
Accés obertType 2 diabetes mellitus (T2DM) is a highly heterogeneous chronic disease with different pathophysiological and genetic characteristics affecting its progression, associated complications and response to therapies. The ... -
Mapping layperson medical terminology into the Human Phenotype Ontology using neural machine translation models
Manzini, Enrico; Garrido de Aguirre, Jon; Fonollosa Magrinyà, Jordi; Perera Lluna, Alexandre (2022-10-15)
Article
Accés obertIn the medical domain there exists a terminological gap between patients and caregivers and the healthcare professionals. This gap may hinder the success of the communication between healthcare consumers and professionals ... -
Medidas basadas en teoría de grafos y la predicción de la morbosidad de genes
Massanet Vila, Raimon; Caminal Magrans, Pere; Perera Lluna, Alexandre (2012)
Comunicació de congrés
Accés obertEstudios previos sugieren que las redes de interacción entre proteínas presentan propiedades de la teoría de grafos que pueden tener cierta relación con la morbosidad de los genes. En particular, se ha sugerido que cuando ... -
MEET: Motif Elements Estimation Toolki
Pairó Castiñeira, Erola; Maynou Fernández, Joan; Vallverdú Ferrer, Montserrat; Gallardo Chacón, Joan Josep; Caminal Magrans, Pere; Marco Colás, Santiago; Perera Lluna, Alexandre (2010)
Comunicació de congrés
Accés obertMEET (Motif Elements Estimation Toolkit) es un paquete en R que integra un conjunto de algoritmos para la detección computacional de los puntos de unión de los factores de transcripción (TFBS). El paquete en R MEET incluye ... -
MEET: Motif Elements Estimation Toolkit
Pairó Castiñeira, Erola; Maynou Fernández, Joan; Vallverdú Ferrer, Montserrat; Caminal Magrans, Pere; Marco Colás, Santiago; Perera Lluna, Alexandre (2012)
Comunicació de congrés
Accés obertMEET is an R package that integrates a set of algorithms for the detection of transcription factor binding sites(TFBS). The MEET R package includes five motif searching algorithms: MEME/MAST(Multiple Expectation-Maximization ... -
MMP1 drives tumor progression in large cell carcinoma of the lung through fibroblast senescence
Ikemori, Rafael; Llorente, A; Maqueda González, María de los Ángeles; Dávalos Errando, Antoni; Perera Lluna, Alexandre; Reguart, Noemí; Quiroz, Luis; Alcaraz Casademunt, Jordi (2021-03)
Article
Accés obertLarge cell carcinoma (LCC) is a rare and aggressive lung cancer subtype with poor prognosis and no targeted therapies. Tumor-associated fibroblasts (TAFs) derived from LCC tumors exhibit premature senescence, and coculture ... -
Moth-like chemo-source localization and classification on an indoor autonomous robot
Perera Lluna, Alexandre (InTech, 2011-08-01)
Capítol de llibre
Accés restringit per política de l'editorialBio-mimicry is fundamental idea -
MultiPaths: a Python framework for analyzing multi-layer biological networks using diffusion algorithms
Marín-Llaó, Josep, Josep; Mubeen, Sarah; Perera Lluna, Alexandre; Hofmann-Apitius, Martin; Picart Armada, Sergio; Domingo-Fernández, Daniel (2020-12-26)
Article
Accés obertHigh-throughput screening yields vast amounts of biological data which can be highly challenging to interpret. In response, knowledge-driven approaches emerged as possible solutions to analyze large datasets by leveraging ... -
Multiview and multifeature spectral clustering using common eigenvectors
Kanaan Izquierdo, Samir; Ziyatdinov, Andrey; Perera Lluna, Alexandre (Elsevier, 2018-01-15)
Article
Accés obertAn 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 ... -
Multiview: a software package for multiview pattern recognition methods
Kanaan Izquierdo, Samir; Ziyatdinov, Andrey; Burgueño, Maria Araceli; Perera Lluna, Alexandre (2018-12-31)
Article
Accés obertMultiview datasets are the norm in bioinformatics, often under the label multi-omics. Multiview data is gathered from several experiments, measurements or feature sets available for the same subjects. Recent studies in ... -
mWISE: an algorithm for context-based annotation of liquid chromatography–mass spectrometry features through diffusion in graphs
Barranco Altirriba, María; Solà Santos, Pol; Picart Armada, Sergio; Kanaan Izquierdo, Samir; Fonollosa Magrinyà, Jordi; Perera Lluna, Alexandre (2021-07-28)
Article
Accés obertUntargeted metabolomics using liquid chromatography coupled to mass spectrometry (LC–MS) allows the detection of thousands of metabolites in biological samples. However, LC–MS data annotation is still considered a major ... -
Network-based enrichment analysis of gene expression through protein-protein interaction data
Massanet Vila, Raimon; Fernández Albert, Francesc; Caminal Magrans, Pere; Perera Lluna, Alexandre (IEEE, 2012)
Text en actes de congrés
Accés restringit per política de l'editorialHigh-throughput analysis of gene expression data is subject to technological and statistical issues that confuse the underlying expression-condition associations. In this contribution a network-based candidate gene ... -
Non-targeted metabolomics reveals alterations in liver and plasma of gilt-head bream exposed to oxybenzone
Ziarrusta, Haizea; Mijangos, Leire; Picart Armada, Sergio; Irazola, Mireia; Perera Lluna, Alexandre (2018-08-04)
Article
Accés obertThe extensive use of the organic UV filter oxybenzone has led to its ubiquitous occurrence in the aquatic environment, causing an ecotoxicological risk to biota. Although some studies reported adverse effects, such as ... -
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 obertMetabolomics 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 ... -
Odour mapping under strong backgrounds with a metal oxide sensor array
Ziyatdinov, Andrey; Blanco Calvo, Jose Maria; Bermudez Badia, Sergi; Lechon, Miguel; Marco, Santiago; Verschure, Paul; Perera Lluna, Alexandre (American Institute of Physics (AIP), 2011)
Text en actes de congrés
Accés obertThis text describes the data from an initial set of navigation experiments in the scope of the Bio-ICT European project NEUROCHEM (...) This poster shows that a preprocessing based on Independent Component Analysis is able ... -
Predictability of gene ontology slim-terms from primary structure information in Embryophyta plant proteins
Jaramillo-Garzón, Jorge Alberto; Gallardo Chacón, Joan Josep; Castellanos Domínguez, Germán; Perera Lluna, Alexandre (2013-02-26)
Article
Accés obert -
Search of phenotype-related candidate genes using Gene Ontology-based semantic similarity and protein interaction information: application to Brugada syndrome
Massanet Vila, Raimon; Gallardo Chacón, Joan Josep; Caminal Magrans, Pere; Perera Lluna, Alexandre (IEEE Press. Institute of Electrical and Electronics Engineers, 2009)
Text en actes de congrés
Accés obertThis work presents a methodology for finding phenotype candidate genes starting from a set of known related genes. This is accomplished by automatically mining and organizing the available scientific literature using ... -
Sequence information gain based motif analysis
Maynou Fernández, Joan; Pairó, Erola; Marco, Santiago; Perera Lluna, Alexandre (2015-11-09)
Article
Accés obertBackground: The detection of regulatory regions in candidate sequences is essential for the understanding of the regulation of a particular gene and the mechanisms involved. This paper proposes a novel methodology based ... -
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 obertThe 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 ... -
Synthetic benchmarks for machine olfaction: Classification, segmentation and sensor damage
Ziyatdinov, Andrey; Perera Lluna, Alexandre (Elsevier, 2015-06-30)
Article
Accés obertThe design of the signal and data processing algorithms requires a validation stage and some data relevant for a validation procedure. While the practice to share public data sets and make use of them is a recent and still ...