Ara es mostren els items 57-76 de 84

    • 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
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      Type 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
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      In 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
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      Estudios 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
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      MEET (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
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      MEET 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)
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      Large 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'editorial
      Bio-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)
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      High-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
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      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 ...
    • Multiview: a software package for multiview pattern recognition methods 

      Kanaan Izquierdo, Samir; Ziyatdinov, Andrey; Burgueño, Maria Araceli; Perera Lluna, Alexandre (2018-12-31)
      Article
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      Multiview 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)
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      Untargeted 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'editorial
      High-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
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      The 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 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 ...
    • 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
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      This 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
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    • 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
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      This 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
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      Background: 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
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      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 ...
    • Synthetic benchmarks for machine olfaction: Classification, segmentation and sensor damage 

      Ziyatdinov, Andrey; Perera Lluna, Alexandre (Elsevier, 2015-06-30)
      Article
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      The 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 ...