“notame”: Workflow for Non-Targeted LC–MS Metabolic Profiling

“notame”: Workflow for Non-Targeted LC–MS Metabolic Profiling

Metabolomics analysis generates vast arrays of data, necessitating comprehensive workflows involving expertise in analytics, biochemistry and bioinformatics in order to provide coherent and high-quality data that enable discovery of robust and biologically significant metabolic findings. In this pro...

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Bibliographic Details
Main Authors: Anton Klåvus, Marietta Kokla, Stefania Noerman, Ville M. Koistinen, Marjo Tuomainen, Iman Zarei, Topi Meuronen, Merja R. Häkkinen, Soile Rummukainen, Ambrin Farizah Babu, Taisa Sallinen, Olli Kärkkäinen, Jussi Paananen, David Broadhurst, Carl Brunius, Kati Hanhineva
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Metabolites
Subjects:
metabolomics
LC–MS
mass spectrometry
metabolic profiling
computational statistical
unsupervised learning
Online Access:https://www.mdpi.com/2218-1989/10/4/135

Internet

https://www.mdpi.com/2218-1989/10/4/135

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