Partial Least Squares with Structured Output for Modelling the Metabolomics Data Obtained from Complex Experimental Designs: A Study into the Y-Block Coding
Partial least squares (PLS) is one of the most commonly used supervised modelling approaches for analysing multivariate metabolomics data. PLS is typically employed as either a regression model (PLS-R) or a classification model (PLS-DA). However, in metabolomics studies it is common to investigate m...
| Main Authors: | , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
MDPI
2016
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5192444/ |