Dipòsit Digital de Documents de la UAB 34 registres trobats  inicianterior17 - 26següent  anar al registre: La cerca s'ha fet en 0.01 segons. 
17.
8 p, 741.7 KB PCOPGene-Net : holistic characterisation of cellular states from microarray data based on continuous and non-continuous analysis of gene-expression relationships / Huerta Casado, Mario (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí") ; Cedano Rodríguez, Juan Antonio (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Peña, Dario (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí") ; Rodriguez, Antonio (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí") ; Querol Murillo, Enrique (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Microarray technology is so expensive and powerful that it is essential to extract maximum value from microarray data, specially from large-sample-series microarrays. Our web tools attempt to respond to these researchers' needs by facilitating the possibility to test and formulate from a hypothesis to entire models under a holistic point of view. [...]
2009 - 10.1186/1471-2105-10-138
BMC bioinformatics, Vol. 10 (2009) , art. 138  
18.
14 p, 1.9 MB Label noise in subtype discrimination of class C G protein-coupled receptors : a systematic approach to the analysis of classification errors / König, Caroline (Universitat Politècnica de Catalunya. Departament de Ciències de la Computació) ; Cárdenas, Martha I. (Universitat Politècnica de Catalunya. Departament de Ciències de la Computació) ; Giraldo, Jesús (Universitat Autònoma de Barcelona. Institut de Neurociències) ; Alquézar, René (Universitat Politècnica de Catalunya. Departament de Ciències de la Computació) ; Vellido, Alfredo (Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics)
Background: The characterization of proteins in families and subfamilies, at different levels, entails the definition and use of class labels. When the adscription of a protein to a family is uncertain, or even wrong, this becomes an instance of what has come to be known as a label noise problem. [...]
2015 - 10.1186/s12859-015-0731-9
BMC bioinformatics, Vol. 16, N. 314 (September 2015) , p. 1-14  
19.
15 p, 1.6 MB Quantifying conformational changes in GPCRs : glimpse of a common functional mechanism / Dalton, James A. R.. (Universitat Autònoma de Barcelona. Institut de Neurociències) ; Lans, Isaias (Universitat Autònoma de Barcelona. Institut de Neurociències) ; Giraldo, Jesús (Universitat Autònoma de Barcelona. Institut de Neurociències)
Background: G-protein-coupled receptors (GPCRs) are important drug targets and a better understanding of their molecular mechanisms would be desirable. The crystallization rate of GPCRs has accelerated in recent years as techniques have become more sophisticated, particularly with respect to Class A GPCRs interacting with G-proteins. [...]
2015 - 10.1186/s12859-015-0567-3
BMC bioinformatics, Vol. 16 N. 124 (April 2015) , p. 1-15  
20.
11 p, 2.4 MB From raw data to data-analysis for magnetic resonance spectroscopy - the missing link : jMRUI2XML / Mocioiu, Victor (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Ortega-Martorell, Sandra (Liverpool John Moores University. Department of Mathematics and Statistics) ; Olier, Iván (University of Manchester. Institute of Population Health) ; Jablonski, Michal (Institute of Scientific Instruments of the CAS (Brno, República Txeca)) ; Starcukova, Jana (Institute of Scientific Instruments of the CAS (Brno, República Txeca)) ; Lisboa, Paulo J. G. (Liverpool John Moores University. Department of Mathematics and Statistics) ; Arús i Caraltó, Carles (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Julià Sapé, Ma. Margarita (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Background: Magnetic resonance spectroscopy provides metabolic information about living tissues in a non-invasive way. However, there are only few multi-centre clinical studies, mostly performed on a single scanner model or data format, as there is no flexible way of documenting and exchanging processed magnetic resonance spectroscopy data in digital format. [...]
2015 - 10.1186/s12859-015-0796-5
BMC bioinformatics, Vol. 16, N. 378 (November 2015) , p. 1-11  
21.
20 p, 570.3 KB Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours / Ortega-Martorell, Sandra (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí") ; Lisboa, Paulo J. G. (Liverpool John Moores University. Department of Mathematics and Statistics) ; Vellido, Alfredo (Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics) ; Julià Sapé, Ma. Margarita (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Arús i Caraltó, Carles (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Background: In-vivo single voxel proton magnetic resonance spectroscopy (SV 1H-MRS), coupled with supervised pattern recognition (PR) methods, has been widely used in clinical studies of discrimination of brain tumour types and follow-up of patients bearing abnormal brain masses. [...]
2012 - 10.1186/1471-2105-13-38
BMC bioinformatics, Vol. 13, N. 38 (March 2012) , p. 1-20  
22.
17 p, 2.5 MB DCE@urLAB : a dynamic contrast-enhanced MRI pharmacokinetic analysis tool for preclinical data / Ortuño, Juan E. (Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina) ; Ledesma-Carbayo, María Jesús (Universidad Politécnica de Madrid. Departamento de Ingeniería Electrónica) ; Simoes, Rui Vasco (Universitat de Barcelona) ; Candiota Silveira, Ana Paula (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí") ; Arús i Caraltó, Carles (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Santos, Andrés (Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina)
Background: DCE@urLAB is a software application for analysis of dynamic contrast-enhanced magnetic resonance imaging data (DCE-MRI). The tool incorporates a friendly graphical user interface (GUI) to interactively select and analyze a region of interest (ROI) within the image set, taking into account the tissue concentration of the contrast agent (CA) and its effect on pixel intensity. [...]
2013 - 10.1186/1471-2105-14-316
BMC bioinformatics, Vol. 14, N. 316 (November 2013) , p. 1-17  
23.
7 p, 1.2 MB designGG : an R-package and web tool for the optimal design of genetical genomics experiments / Li, Yang (University of Groningen. Groningen Biomolecular Sciences and Biotechnology Institute (Haren, Països Baixos)) ; Swertz, Morris A. (University of Groningen. Groningen Biomolecular Sciences and Biotechnology Institute (Haren, Països Baixos)) ; Vera Rodríguez, Gonzalo (University of Groningen. Groningen Biomolecular Sciences and Biotechnology Institute (Haren, Països Baixos)) ; Fu, Jingyuan (University of Groningen. Department of Genetics (Groningen, Països Baixos)) ; Breitling, Rainer (University of Groningen. Groningen Biomolecular Sciences and Biotechnology Institute (Haren, Països Baixos)) ; Jansen, Ritsert C. (University of Groningen. Groningen Biomolecular Sciences and Biotechnology Institute (Haren, Països Baixos))
Background: High-dimensional biomolecular profiling of genetically different individuals in one or more environmental conditions is an increasingly popular strategy for exploring the functioning of complex biological systems. [...]
2009 - 10.1186/1471-2105-10-188
BMC bioinformatics, Vol. 10, N. 188 (June 2009) , p. 1-7  
24.
12 p, 816.6 KB The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses / Pérez Ruiz, Alexander (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Julià Sapé, Ma. Margarita (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Mercadal, Guillem (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Olier, Iván (Universitat Autònoma de Barcelona. Institut de Neurociències) ; Majos, Carles (Institut de Diagnòstic per la Imatge) ; Arús i Caraltó, Carles (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Background: Proton Magnetic Resonance (MR) Spectroscopy (MRS) is a widely available technique for those clinical centres equipped with MR scanners. Unlike the rest of MR-based techniques, MRS yields not images but spectra of metabolites in the tissues. [...]
2010 - 10.1186/1471-2105-11-581
BMC bioinformatics, Vol. 11 N. 581 (November 2010) , p. 1-12  
25.
8 p, 958.4 KB Prediction of enzyme function by combining sequence similarity and protein interactions / Espadaler Mazo, Jordi (Universitat Pompeu Fabra. Departament de Ciències Experimentals i de la Salut) ; Eswar, Narayanan (University of California. Departments of Biopharmaceutical Sciences and Pharmaceutical Chemistry) ; Querol Murillo, Enrique (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí") ; Avilés, Francesc X. (Francesc Xavier) (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Sali, Andrej (University of California. Departments of Biopharmaceutical Sciences and Pharmaceutical Chemistry) ; Martí Renom, Marc A. (Centro de Investigación Príncipe Felipe (València)) ; Oliva Miguel, Baldomero (Universitat Pompeu Fabra. Departament de Ciències Experimentals i de la Salut)
Background: A number of studies have used protein interaction data alone for protein function prediction. Here, we introduce a computational approach for annotation of enzymes, based on the observation that similar protein sequences are more likely to perform the same function if they share similar interacting partners. [...]
2008 - 10.1186/1471-2105-9-249
BMC bioinformatics, Vol. 9, N. 249 (May 2008), p. 1-8
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26.
6 p, 601.4 KB R/parallel - speeding up bioinformatics analysis with R / Vera Rodríguez, Gonzalo (University of Groningen. Groningen Biomolecular Sciences and Biotechnology Institute (Haren, Països Baixos)) ; Jansen, Ritsert C. (University of Groningen. Groningen Biomolecular Sciences and Biotechnology Institute (Haren, Països Baixos)) ; Suppi Boldrito, Remo (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius)
Background: R is the preferred tool for statistical analysis of many bioinformaticians due in part to the increasing number of freely available analytical methods. Such methods can be quickly reused and adapted to each particular experiment. [...]
2008 - 10.1186/1471-2105-9-390
BMC bioinformatics, Vol. 9, N. 390 (September 2008) , p. 1-6  

Dipòsit Digital de Documents de la UAB : 34 registres trobats   inicianterior17 - 26següent  anar al registre:
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