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Multiview: a software package for multiview pattern recognition methods

Author
Kanaan-Izquierdo, S.; Ziyatdinov, A.; Burgueño, M.; Perera, A.
Type of activity
Journal article
Journal
Bioinformatics
Date of publication
2018-12-31
Number
bty1039
First page
1
Last page
3
DOI
10.1093/bioinformatics/bty1039
Project funding
Impacto del entrenamiento en deportistas de élite en la función cardíaca, regulación neural y regulación genética asociada
Serious Games on Heart Failure patients. Estimation of their benefits on the Spanish Health System
Repository
http://hdl.handle.net/2117/130483 Open in new window
URL
https://academic.oup.com/bioinformatics/advance-article-abstract/doi/10.1093/bioinformatics/bty1039/5267824 Open in new window
Abstract
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 pattern recognition have shown the advantage of using multiview methods of clustering and dimensionality reduction; however, none of these methods are readily available to the extent of our knowledge. Multiview extensions of four well-known pattern recognition methods are proposed...
Citation
Kanaan-Izquierdo, S. [et al.]. Multiview: a software package for multiview pattern recognition methods. "Bioinformatics", 31 Desembre 2018, núm. bty1039, p. 1-3.
Keywords
Multiview data processing, clustering, dimensionality reduction
Group of research
B2SLab - Bioinformatics and Biomedical Signals Laboratory
CREB - Biomedical Engineering Research Centre
TALP - Centre for Language and Speech Technologies and Applications

Participants

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