OS-PCA: Orthogonal Smoothed Principal Component Analysis Applied to Metabolome Data
Principal component analysis (PCA) has been widely used in metabolomics. However, it is not always possible to detect phenotype-associated principal component (PC) scores. Previously, we proposed a smoothed PCA for samples acquired with a time course or rank order, but hypothesis testing to select s...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2021-03-01
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| coleção: | Metabolites |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2218-1989/11/3/149 |
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