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So you think you can PLS-DA?

BACKGROUND: Partial Least-Squares Discriminant Analysis (PLS-DA) is a popular machine learning tool that is gaining increasing attention as a useful feature selector and classifier. In an effort to understand its strengths and weaknesses, we performed a series of experiments with synthetic data and...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:BMC Bioinformatics
Päätekijät: Ruiz-Perez, Daniel, Guan, Haibin, Madhivanan, Purnima, Mathee, Kalai, Narasimhan, Giri
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: BioMed Central 2020
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC7724830/
https://ncbi.nlm.nih.gov/pubmed/33297937
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3310-7
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