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PCA as a practical indicator of OPLS-DA model reliability
BACKGROUND: Principal Component Analysis (PCA) and Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA) are powerful statistical modeling tools that provide insights into separations between experimental groups based on high-dimensional spectral measurements from NMR, MS or ot...
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| 出版年: | Curr Metabolomics |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4990351/ https://ncbi.nlm.nih.gov/pubmed/27547730 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2174/2213235X04666160613122429 |
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