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Regularized Partial Least Squares with an Application to NMR Spectroscopy
High-dimensional data common in genomics, proteomics, and chemometrics often contains complicated correlation structures. Recently, partial least squares (PLS) and Sparse PLS methods have gained attention in these areas as dimension reduction techniques in the context of supervised data analysis. We...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3914316/ https://ncbi.nlm.nih.gov/pubmed/24511361 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sam.11169 |
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