K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space
<p style="text-align:justify;"> <b>Background:</b> 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...
Main Authors: | , , , , |
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Format: | Journal article |
Language: | English |
Published: |
BioMed Central
2008
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