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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...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2008
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| Materias: | |
| 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 |