A feature selection method based on multiple kernel learning with expression profiles of different types

BACKGROUND: With the development of high-throughput technology, the researchers can acquire large number of expression data with different types from several public databases. Because most of these data have small number of samples and hundreds or thousands features, how to extract informative featu...

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Detalles Bibliográficos
Autores principales: Du, Wei, Cao, Zhongbo, Song, Tianci, Li, Ying, Liang, Yanchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5288949/
https://www.ncbi.nlm.nih.gov/pubmed/28184251
http://dx.doi.org/10.1186/s13040-017-0124-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5288949/
https://www.ncbi.nlm.nih.gov/pubmed/28184251
http://dx.doi.org/10.1186/s13040-017-0124-x

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