Analysis of the Human Adult Urinary Metabolome Variations with Age, Body Mass Index, and Gender by Implementing a Comprehensive Workflow for Univariate and OPLS Statistical Analyses.
By E. Thévenot, Aurelie Roux, Ying Xu, E. Ezan, C. Junot. Journal of Proteome Research, 2015
1,477 citations recorded by the source corpus.
Subfields: Molecular Biology, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/b58bf96a88cb05cfe98a68ae06db8874b04711f1
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In Molecular Biology
- Jianguo Xia
- David S. Wishart
- Jasmine Chong
- Shuzhao Li
- Othman Soufan
- Carin Li
- Guillaume Bourque
- Iurie Nicolae Caraus
In Public Health, Environmental and Occupational Health
Citations in the corpus
- MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis (2018, methodology): “Based on additional user feedback, we have also added two variants of the popular partial least square (PLS) methods, including orthogonal PLS and sparse PLS for improved data interpretation and more robust statistical analysis (44,45).”
- metaX: a flexible and comprehensive software for processing metabolomics data (2017, methodology): “The PLS-DA was implemented based on the functions from the pls package [24], and the OPLS-DA was performed using the functions from the ropls package [25].”