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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

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