Sparse kernel canonical correlation analysis for discovery of nonlinear interactions in high-dimensional data

BACKGROUND: Advance in high-throughput technologies in genomics, transcriptomics, and metabolomics has created demand for bioinformatics tools to integrate high-dimensional data from different sources. Canonical correlation analysis (CCA) is a statistical tool for finding linear associations between...

Descripción completa

Detalles Bibliográficos
Autores principales: Yoshida, Kosuke, Yoshimoto, Junichiro, Doya, Kenji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5310015/
https://www.ncbi.nlm.nih.gov/pubmed/28196464
http://dx.doi.org/10.1186/s12859-017-1543-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5310015/
https://www.ncbi.nlm.nih.gov/pubmed/28196464
http://dx.doi.org/10.1186/s12859-017-1543-x

Ejemplares similares