Partial least squares discriminant analysis: taking the magic away

By Richard G. Brereton, Gavin Rhys Lloyd. 2014

734 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biomedical Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/02382555c24e2fc5c8029a7ae8a82a916f5c1fae

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. David I. Ellis
2. Royston Goodacre
3. Robert Powers
4. Bradley Worley

In Molecular Biology

1. David I. Ellis
2. Royston Goodacre
3. Yun Xu
4. Howbeer Muhamadali
5. Elon Santos Correa
6. Michael L. Turner
7. P. Gromski
8. Garrett Kinnebrew

Citations in the corpus

• Multiclass partial least squares discriminant analysis: Taking the right way—A critical tutorial (2018, neutral): “TEFF 1⁄4 ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi TSNS⋅TSPS p : (22)”
• A tutorial review: Metabolomics and partial least squares-discriminant analysis--a marriage of convenience or a shotgun wedding. (2015, methodology): “However, as recently reported by Brereton and Lloyd this method can often be misused by non-experts [2], largely due to its prevalence in commercially available packages where the non-cognoscenti can use the default setting for model construction and validation which may not be appropriate.”
• Metabolomics and Multi-Omics Integration: A Survey of Computational Methods and Resources (2020, background): “Notably, PLS-DA is prone to overfitting [150], as it will always find a projection that separates phenotypes, even with randomized data [151,152].”