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...

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Detalles Bibliográficos
Autores principales: Brown, Amber O., Green, Peter J., Frankham, Greta J., Stuart, Barbara H., Ueland, Maiken
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
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

Internet

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

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