“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...

詳細記述

書誌詳細

主要な著者:	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
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2020-03-01
シリーズ:	Metabolites
主題:	metabolomics LC–MS mass spectrometry metabolic profiling computational statistical unsupervised learning
オンライン･アクセス:	https://www.mdpi.com/2218-1989/10/4/135
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