Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Ivan Teixidó"'
Autor:
Cecilia Turino, Sandra Bertran, Ricard Gavaldá, Ivan Teixidó, Holger Woehrle, Montserrat Rué, Francesc Solsona, Joan Escarrabill, Cristina Colls, Anna García-Altés, Jordi de Batlle, Manuel Sánchez de-la-Torre, Ferran Barbé
Publikováno v:
PLoS ONE, Vol 12, Iss 9, p e0185191 (2017)
There are different phenotypes of obstructive sleep apnoea (OSA), many of which have not been characterised. Identification of these different phenotypes is important in defining prognosis and guiding the therapeutic strategy. The aim of this study w
Externí odkaz:
https://doaj.org/article/46152f2b01ca47c5b9b9f86619c400ad
Autor:
Rui Alves, Marc Piñol, Jordi Vilaplana, Ivan Teixidó, Joaquim Cruz, Jorge Comas, Ester Vilaprinyo, Albert Sorribas, Francesc Solsona
Publikováno v:
PeerJ, Vol 4, p e2211 (2016)
Introduction. Most documented rare diseases have genetic origin. Because of their low individual frequency, an initial diagnosis based on phenotypic symptoms is not always easy, as practitioners might never have been exposed to patients suffering fro
Externí odkaz:
https://doaj.org/article/1173058dcfc249e6b4f149befce533eb
Publikováno v:
Multimedia Tools and Applications. 78:28137-28155
In this paper we investigate, analyze and compare sentimental analysis methodologies in Catalan tweets. The main goal is to develop a high-performance Catalan classifier. There are three main steps: Catalan language preprocessing tool, classification
Publikováno v:
PeerJ, Vol 2, p e276 (2014)
One way to initiate the reconstruction of molecular circuits is by using automated text-mining techniques. Developing more efficient methods for such reconstruction is a topic of active research, and those methods are typically included by bioinforma
Externí odkaz:
https://doaj.org/article/9cc5b5a304fd404eb4ad9c497c410a4a
Publikováno v:
IEEE Transactions on Industrial Informatics. 13:1184-1192
The initial diagnosis of rare diseases is difficult because they are infrequent and doctors do not often see or recognize their symptoms. Developing tools to assist in this diagnosis would provide a way to facilitate medical practice in this area. Th
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
Repositorio Abierto de la UdL
Universitad de Lleida
instname
Repositorio Abierto de la UdL
Universitad de Lleida
Summary EasyModel is a new user-friendly web application that contains ready-for-simulation versions of the BioModels Database, and allows for the intuitive creation of new models. Its main target audience is the experimental biologist and students o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::862a29327a50e6178ba004d4ddf7b7ae
https://hdl.handle.net/10459.1/67914
https://hdl.handle.net/10459.1/67914
Publikováno v:
Journal of computational biology : a journal of computational molecular cell biology. 25(2)
MetReS (Metabolic Reconstruction Server) is a genomic database that is shared between two software applications that address important biological problems. Biblio-MetReS is a data-mining tool that enables the reconstruction of molecular networks base
Publikováno v:
The Journal of Supercomputing. 71:1817-1832
This paper presents a power-aware scheduling policy algorithm of Virtual Machines into nodes called Green Cloud (GreenC) for Heterogeneous cloud systems. GreenC takes into account optimal assignments according to physical and virtual machine heteroge
Publikováno v:
Recercat. Dipósit de la Recerca de Catalunya
instname
instname
In recent years, several lightweight cryptographic protocols whose security lies in the assumed intractability of the learning parity with noise (LPN) problem have been proposed. The LPN problem has been shown to be solvable in subexponential time by
Autor:
Anabel Usié, Francesc Solsona, Nestor Torres, Ivan Teixidó, Jordi Vilaplana, Jorge Comas, Jordi Mateo, Rui Alves
Publikováno v:
INCoS
When designing a cloud infrastructure, it is critical to ensure beforehand that the system will be able to offer the desired level of QoS (Quality of Service). Our attention is focused here on efficient QoS accessing to a biological database in cloud