Automated supervised learning pipeline for non-targeted GC-MS data analysis

Non-targeted analysis is nowadays applied in many different domains of analytical chemistry such as metabolomics, environmental and food analysis. Conventional processing strategies for GC-MS data include baseline correction, feature detection, and retention time alignment before multivariate modeli...

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Detalles Bibliográficos
Autores principales: Sirén, Kimmo, Fischer, Ulrich, Vestner, Jochen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7587030/
https://www.ncbi.nlm.nih.gov/pubmed/33117972
http://dx.doi.org/10.1016/j.acax.2019.100005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7587030/
https://www.ncbi.nlm.nih.gov/pubmed/33117972
http://dx.doi.org/10.1016/j.acax.2019.100005

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