K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space

BACKGROUND: Kernel-based classification and regression methods have been successfully applied to modelling a wide variety of biological data. The Kernel-based Orthogonal Projections to Latent Structures (K-OPLS) method offers unique properties facilitating separate modelling of predictive variation...

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Detalles Bibliográficos
Autores principales: Bylesjö, Max, Rantalainen, Mattias, Nicholson, Jeremy K, Holmes, Elaine, Trygg, Johan
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2323673/
https://www.ncbi.nlm.nih.gov/pubmed/18284666
http://dx.doi.org/10.1186/1471-2105-9-106

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2323673/
https://www.ncbi.nlm.nih.gov/pubmed/18284666
http://dx.doi.org/10.1186/1471-2105-9-106

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