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Insights into the Effects of Violating Statistical Assumptions for Dimensionality Reduction for Chemical “-omics” Data with Multiple Explanatory Variables
[Image: see text] Biological volatilome analysis is inherently complex due to the considerable number of compounds (i.e., dimensions) and differences in peak areas by orders of magnitude, between and within compounds found within datasets. Traditional volatilome analysis relies on dimensionality red...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10286096/ https://www.ncbi.nlm.nih.gov/pubmed/37360494 http://dx.doi.org/10.1021/acsomega.3c01613 |