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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Metabolites
المؤلفون الرئيسيون: Hiroyuki Yamamoto, Yasumune Nakayama, Hiroshi Tsugawa
التنسيق: مقال
اللغة:الإنجليزية
منشور في: MDPI AG 2021-03-01
الموضوعات:
principal component analysis
smoothing
statistical hypothesis testing
metabolomics
الوصول للمادة أونلاين:https://www.mdpi.com/2218-1989/11/3/149

الانترنت

https://www.mdpi.com/2218-1989/11/3/149

مواد مشابهة