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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Detalles Bibliográficos
Autores principales: Yamamoto, Hiroyuki, Nakayama, Yasumune, Tsugawa, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999099/
https://www.ncbi.nlm.nih.gov/pubmed/33807892
http://dx.doi.org/10.3390/metabo11030149

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999099/
https://www.ncbi.nlm.nih.gov/pubmed/33807892
http://dx.doi.org/10.3390/metabo11030149

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