Exploració per autor "Perera Lluna, Alexandre"
Ara es mostren els items 22-41 de 84
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Caracterización y análisis de las interacciones de regulación entre los factores de transcripción y los genes
Maynou Fernández, Joan; Pairó Castiñeira, Erola; Massanet Vila, Raimon; Vallverdú Ferrer, Montserrat; Caminal Magrans, Pere; Perera Lluna, Alexandre (2011)
Text en actes de congrés
Accés obertEl estudio y la comprensión de las redes de interacción entre proteínas es fundamental para entender el funcionamiento de los diferentes procesos biológicos a nivel celular. El conjunto de interacciones entre proteínas, ... -
Clinical phenotype clustering in cardiovascular risk patients for the identification of responsive metabotypes after red wine polyphenol intake
Vazquez Fresno, Rosa; Llorach Asunción, Rafael; Perera Lluna, Alexandre; Mandal, Rupasri; Feliz, Miguel; Tinahones, Francisco J.; Wishart, David; Andres Lacueva, Cristina (2016-02-01)
Article
Accés obert© 2015 Elsevier Inc. This study aims to evaluate the robustness of clinical and metabolic phenotyping through, for the first time, the identification of differential responsiveness to dietary strategies in the improvement ... -
Clinical validation of eye vergence as an objective marker for diagnosis of ADHD in children
Varela Casal, Paloma; Esposito, Flavia Lorena; Morata Martínez, Imanol; Capdevila Reniu, Alba; Perera Lluna, Alexandre (2018-01-22)
Article
Accés obertObjective: ADHD youth show poor oculomotor control. Recent research shows that attention-related eye vergence is weak in ADHD children. Method: To validate vergence as a marker to classify ADHD, we assessed the modulation ... -
Compound identification in gas chromatography/mass spectrometry-based metabolomics by blind source separation
Domingo Almenara, Xavier; Perera Lluna, Alexandre; Ramirez, Noelia; Canellas, Nicolau; Correig, Xavier; Brezmes, Jesus (2015-08-28)
Article
Accés obertMetabolomics GC-MS samples involve high complexity data that must be effectively resolved to produce chemically meaningful results. Multivariate curve resolution-alternating least squares (MCR-ALS) is the most frequently ... -
#CoronavirusCruise: Impact and implications of the COVID-19 outbreaks on the perception of cruise tourism
Hernández Lara, Ana Beatriz; Abubakr Muritala, Babajide; Sanchez-Rebull, Maria Victoria; Perera Lluna, Alexandre (2022-02)
Article
Accés obertEarly in the COVID-19 pandemic, the Diamond Princess became the center of the largest outbreak outside the original epicenter in China. This outbreak which left 712 passengers infected and 14 dead, followed by subsequent ... -
Data set from gas sensor array under flow modulation
Ziyatdinov, Andrey; Fonollosa, Jordi; Fernández Romero, Lluís; Gutierrez Galvez, Agustín; Marco Colás, Santiago; Perera Lluna, Alexandre (Elsevier, 2015-06-30)
Article
Accés obertRecent studies in neuroscience suggest that sniffing, namely sampling odors actively, plays an important role in olfactory system, especially in certain scenarios such as novel odorant detection. While the computational ... -
Data simulation in machine olfaction with the R package chemosensors
Ziyatdinov, Andrey; Perera Lluna, Alexandre (2014-02)
Article
Accés obertIn machine olfaction, the design of applications based on gas sensor arrays is highly dependent on the robustness of the signal and data processing algorithms. While the practice of testing the algorithms on public benchmarks ... -
Desarrollo de una plataforma web para el acceso interactivo a una base de datos SQL con información biológica de competiciones deportivas
López del Río, Ángela; Maqueda González, María de los Ángeles; Roca Rodríguez, Emma; Perera Lluna, Alexandre (Editorial Universitat Politècnica de València, 2016)
Comunicació de congrés
Accés restringit per política de l'editorialEn este artículo se describe el desarrollo de una aplicación web mediante R que permite acceder fácilmente a la información almacenada en una base de datos SQL compleja construida a partir de datos fisiológicos de rendimiento ... -
Detection of transcription factor binding sites using Rényi entropy
Maynou Fernández, Joan; Vallverdú Ferrer, Montserrat; Clarià, Francesc; Perera Lluna, Alexandre; Caminal Magrans, Pere (IEEE Press. Institute of Electrical and Electronics Engineers, 2008)
Text en actes de congrés
Accés obertDuring the process of protein synthesis, transcription of DNA to messenger RNA starts with the binding of the transcription factors to the promoter. One of the issues on the prediction of transcription factor binding is ... -
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 obertLabel 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 ... -
Dimensionality reduction oriented toward the feature visualization for ischemia detection
Delgado-Tejos, Edilson; Perera Lluna, Alexandre; Vallverdú Ferrer, Montserrat; Caminal Magrans, Pere; Castellanos Dominguez, German (2009-03-16)
Article
Accés obertAn effective data representation methodology on high-dimension feature spaces is presented, which allows a better interpretation of subjacent physiological phenomena (namely, cardiac behavior related to cardiovascular ... -
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 obertThere 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 ... -
Dynamic trajectories of left ventricular ejection fraction in heart failure
Lupon, Josep; Gavidia Bovadilla, Giovana Elizabeth; Ferrer Sistach, Elena; de Antonio Ferrer, Marta; Perera Lluna, Alexandre; Díaz Ruata, Patricia (2018-08-07)
Article
Accés obertBackground Long-term trajectories of left ventricular ejection fraction (LVEF) in heart failure (HF) are incompletely characterized. Objectives This study sought to examine LVEF trajectories in HF with reduced LVEF (<40%) ... -
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 obertIncipient 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 ... -
Effect of sequence padding on the performance of deep learning models in archaeal protein functional prediction
López del Río, Ángela; Martin, M; Perera Lluna, Alexandre (Nature, 2020-09-03)
Article
Accés obertThe use of raw amino acid sequences as input for deep learning models for protein functional prediction has gained popularity in recent years. This scheme obliges to manage proteins with different lengths, while deep ... -
Effects and mechanisms of cognitive, aerobic exercise, and combined training on cognition, health, and brain outcomes in physically inactive older adults: the projecte moviment protocol
Castells Sánchez, Alba; Roig Coll, Francesca; Lamonja Vicente, Noemí; Perera Lluna, Alexandre (2019-08-14)
Article
Accés obertAge-related health, brain, and cognitive impairment is a great challenge in current society. Cognitive training, aerobic exercise and their combination have been shown to benefit health, brain, cognition and psychological ... -
Enriquecimiento mediante vías metabólicas de datos de Cromatografía Líquida- Espectrometría de Masas a través de análisis espectral de grafos
Picart Armada, Sergio; Fernández Albert, Francesc; Vinaixa, Maria; Yanes, Óscar; Perera Lluna, Alexandre (2014)
Text en actes de congrés
Accés obertUna de las técnicas experimentales más extendidas en el ámbito de investigación biológica y la química analítica es la Cromatografía Líquida – Espectrometría de Masas, CL/EM, cuya salida informa sobre los compuestos presentes ... -
EpiGe: A machine-learning strategy for rapid classification of medulloblastoma using PCR-based methyl-genotyping
Gómez González, Soledad; Llano Viles, Joshua; García López, Marta; Garrido Garcia, Alicia; Suñol Capella, Mariona; Lemos, Isadora; Perez Jaume, Sara; Salvador Marcos, Noelia; Gene Olaciregui, Nagore; Arnau Galán, Raquel; Santa María López, Vicente; Perez Somarriba, Marta; Perera Lluna, Alexandre; Mora Graupera, Jaume; Lavarino, Cinzia; Morales, Andrés (Elsevier, 2023-09-15)
Article
Accés obertMolecular classification of medulloblastoma is critical for the treatment of this brain tumor. Array-based DNA methylation profiling has emerged as a powerful approach for brain tumor classification. However, this technology ... -
eRah: A Computational Tool Integrating Spectral Deconvolution and Alignment with Quantification and Identification of Metabolites in GC/MS-Based Metabolomics
Domingo Almenara, Xavier; Brezmes, Jesus; Vinaixa, Maria; Samino, Sara; Ramirez, Noelia; Ramon Krauel, Marta; Lerin, Carles; Díaz, Marta; Ibañez, Lourdes; Correig, Xavier; Perera Lluna, Alexandre; Yanes, Óscar (2016-10-04)
Article
Accés restringit per política de l'editorialGas chromatography coupled to mass spectrometry (GC/MS) has been a long-standing approach used for identifying small molecules due to the highly reproducible ionization process of electron impact ionization (EI). However, ... -
Evaluation of cross-validation strategies in sequence-based binding prediction using deep learning
López del Río, Ángela; Nonell Canals, Alfons; Vidal, David; Perera Lluna, Alexandre (2019-01-01)
Article
Accés obertBinding prediction between targets and drug-like compounds through deep neural networks has generated promising results in recent years, outperforming traditional machine learning-based methods. However, the generalization ...