Kernel-based orthogonal projections to latent structures (K-OPLS)
The orthogonal projections to latent structures (OPLS) method has been successfully applied in various chemical and biological systems for modeling and interpretation of linear relationships between a descriptor matrix and response matrix. A kernel-based reformulation of the original OPLS algorithm...
المؤلفون الرئيسيون: | Rantalainen, M, Bylesjoe, M, Cloarec, O, Nicholson, J, Holmes, E, Trygg, J |
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التنسيق: | Journal article |
اللغة: | English |
منشور في: |
2007
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مواد مشابهة
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K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space
حسب: Bylesjö, M, وآخرون
منشور في: (2008) -
K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space
حسب: Holmes Elaine, وآخرون
منشور في: (2008-02-01) -
OPLS discriminant analysis: combining the strengths of PLS-DA and SIMCA classification
حسب: Bylesjo, M, وآخرون
منشور في: (2006) -
Non-linear modeling of 1H NMR metabonomic data using kernel-based orthogonal projections to latent structures optimized by simulated annealing
حسب: Fonville, J, وآخرون
منشور في: (2011) -
Non-linear modeling of 1H NMR metabonomic data using kernel-based orthogonal projections to latent structures optimized by simulated annealing.
حسب: Fonville, J, وآخرون
منشور في: (2011)