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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...
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| 出版年: | BMC Bioinformatics |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2020
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| 主題: | |
| オンライン･アクセス: | 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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