Multiview: a software package for multiview pattern recognition methods.
Bioinformatics
; 35(16): 2877-2879, 2019 08 15.
Article
en En
| MEDLINE
| ID: mdl-30596886
ABSTRACT
SUMMARY:
Multiview datasets are the norm in bioinformatics, often under the label multi-omics. Multiview data are 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 here. Three multiview dimensionality reductionmethods:
multiview t-distributed stochastic neighbour embedding, multiview multidimensional scaling and multiview minimum curvilinearity embedding, as well as a multiview spectral clustering method. Often they produce better results than their single-view counterparts, tested here on four multiview datasets. AVAILABILITY AND IMPLEMENTATION R package at the B2SLab site http//b2slab.upc.edu/software-and-tutorials/ and Python package https//pypi.python.org/pypi/multiview. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Programas Informáticos
Idioma:
En
Revista:
Bioinformatics
Asunto de la revista:
INFORMATICA MEDICA
Año:
2019
Tipo del documento:
Article
País de afiliación:
España