ListarLCC - Contribuciones a congresos científicos por tema "Bioinformática"
Mostrando ítems 1-10 de 10
-
Arquitectura Epiphany III. Una primera toma de contacto
Gálvez-Rojas, Sergio
; Dorado-Pérez, Gabriel; Hernández, Pilar; Esteban-Risueño, Francisco (2015-06-15)
En este trabajo se aborda el análisis de las características hardware, rendimiento y eficiencia del chip E16G301 incorporado en la placa Parallella Board. Este chip es un procesador que integra 16 núcleos RISC cuya ... -
Bioinformatics software, shifting to mobility
Falgueras-Cano, Juan (2014-10-06)
Mobile devices are pervading all the work environments with such swiftness that makes past decades of computerization appear lethargic. Even so, porting previous desktop applications is not always possible or of practical ... -
Bioinformatics with mobile devices
Falgueras-Cano, Juan (2014-10-06)
Mobile platforms are continuously growing in popularity and importance in every aspect of everyday life. It is important that Bioinformatics and biomedical applications keep up with this trend. These platforms offer ... -
Classification of high dimensional data using LASSO ensembles
The estimation of multivariable predictors with good performance in high dimensional settings is a crucial task in biomedical contexts. Usually, solutions based on the application of a single machine ... -
Comparative structural analysis of the drought responsive dehydrin and aquaporin gene families in Brachypodium and close grasses
Agostini, Federico; Decena Rodríguez, María Ángeles; Mérida García, Rosa; Catalán Rodríguez, Pilar; Hernández Molina, Pilar; Gálvez-Rojas, Sergio[et al.] (2019-09-10)
Dehydrins (DHNs) belong to the group 2 LEA (Late Embryogenesis Abundant) genes and play an important role in the response of plants to abiotic stress, mainly heat, salinity and drought. Under these stresses, DHNs accumulate ... -
Exploiting medical-expert knowledge via a novel memetic algorithm for the inference of gene regulatory networks.
This study introduces an innovative memetic algorithm for optimizing the consensus of well-adapted techniques for the inference of gene regulation networks. Building on the methodology of a previous proposal (GENECI), this ... -
Feature density as an uncertainty estimator method in the binary classification mammography images task for a supervised deep learning model
Hernández Vásquez, Marco A.; Fuentes Fino, Ricardo Javier; Calderón-Ramírez, Saúl; Domínguez-Merino, Enrique; López-Rubio, Ezequiel; Molina-Cabello, Miguel Ángel[et al.] (2022)
Labeled medical datasets may include a limited number of observations for each class, while unlabeled datasets may include observations from patients with pathologies other than those observed in the labeled dataset. This ... -
iNGS: a prototype tool for genome interpretation and annotation
Navas-Delgado, Ismael; García Godoy, María Jesús; Arjona-Pulido, Fátima; Castillo-Castillo, Trinidad; Ramos-Ostio, Ana Isabel; Infantes-Díaz, Sarai; Medina García, Ana; Aldana-Montes, José Francisco[et al.] (EMBnet.journal, 2013)
Currently, clinical interpretation of whole-genome NGS genetic findings are very low-throughput because of a lack of computational tools/software. The current bottleneck of whole-genome and whole-exome sequencing projects ... -
Machine learning models to search relevant genetic signatures in clinical context
Urda, Daniel; Luque-Baena, Rafael Marcos; Franco, Leonardo; Sánchez-Maroño, Noelia; Jerez-Aragonés, José Manuel (2017-06-26)
Clinicians are interested in the estimation of robust and relevant genetic signatures from gene sequencing data. Many machine learning approaches have been proposed trying to address well-known issues of this complex ... -
Usability tests on bioinformatics mobile applications
Falgueras-Cano, Juan (2014-10-06)
Mobile devices are experiencing a dramatic increased use among clinicians and researchers. Current bio-apps are not mature enough for a serious bioinformatic use. We are addressing the key aspects that these particular ...