Pure Ion Chromatograms Combined with Advanced Machine Learning Methods Improve Accuracy of Discriminant Models in LC–MS-Based Untargeted Metabolomics

Untargeted metabolomics based on liquid chromatography coupled with mass spectrometry (LC–MS) can detect thousands of features in samples and produce highly complex datasets. The accurate extraction of meaningful features and the building of discriminant models are two crucial steps in the data anal...

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Detalles Bibliográficos
Autores principales: Tian, Miao, Lin, Zhonglong, Wang, Xu, Yang, Jing, Zhao, Wentao, Lu, Hongmei, Zhang, Zhimin, Chen, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125400/
https://www.ncbi.nlm.nih.gov/pubmed/34063107
http://dx.doi.org/10.3390/molecules26092715

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125400/
https://www.ncbi.nlm.nih.gov/pubmed/34063107
http://dx.doi.org/10.3390/molecules26092715

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