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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...

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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

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