Machine Learning Applications for Mass Spectrometry-Based Metabolomics

The metabolome of an organism depends on environmental factors and intracellular regulation and provides information about the physiological conditions. Metabolomics helps to understand disease progression in clinical settings or estimate metabolite overproduction for metabolic engineering. The most...

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Veröffentlicht in:	Metabolites Jg. 10; H. 6; S. 243
Hauptverfasser:	Liebal, Ulf W., Phan, An N. T., Sudhakar, Malvika, Raman, Karthik, Blank, Lars M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 13.06.2020 MDPI
Schlagworte:	Annotations Biomarkers Data analysis Data processing Environmental factors Genetic algorithms Learning algorithms Machine learning Mass spectrometry Mass spectroscopy Metabolic engineering metabolic flux analysis Metabolites Metabolomics MS-based metabolomics multi-omics Neural networks Noise Retention Review Scientific imaging Software Statistical analysis Support vector machines synthetic biology multi-omics synthetic biology metabolic flux analysis metabolic engineering machine learning MS-based metabolomics
ISSN:	2218-1989, 2218-1989
Online-Zugang:	Volltext
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