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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...
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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2008
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| 主題: | |
| オンライン・アクセス: | 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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