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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Bibliografiska uppgifter
Huvudupphovsmän: Bylesjö, Max, Rantalainen, Mattias, Nicholson, Jeremy K, Holmes, Elaine, Trygg, Johan
Materialtyp: Artigo
Språk:Inglês
Publicerad: BioMed Central 2008
Ämnen:
Software
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC2323673/
https://ncbi.nlm.nih.gov/pubmed/18284666
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-9-106
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