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Robust sparse canonical correlation analysis

BACKGROUND: Canonical correlation analysis (CCA) is a multivariate statistical method which describes the associations between two sets of variables. The objective is to find linear combinations of the variables in each data set having maximal correlation. In genomics, CCA has become increasingly im...

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Detalles Bibliográficos
Autores principales: Wilms, Ines, Croux, Christophe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4982144/
https://www.ncbi.nlm.nih.gov/pubmed/27516087
http://dx.doi.org/10.1186/s12918-016-0317-9