Machine Learning Applications for Mass Spectrometry-Based Metabolomics

Autor:	Karthik Raman, An N. T. Phan, Malvika Sudhakar, Lars M. Blank, Ulf W. Liebal
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	Computer science Process (engineering) Endocrinology Diabetes and Metabolism lcsh:QR1-502 Review Machine learning computer.software_genre External Data Representation 01 natural sciences Biochemistry lcsh:Microbiology 03 medical and health sciences Metabolomics metabolic flux analysis MS-based metabolomics Metabolome Molecular Biology 030304 developmental biology 0303 health sciences Artificial neural network business.industry 010401 analytical chemistry multi-omics Data structure 0104 chemical sciences Support vector machine machine learning Data quality ddc:540 Artificial intelligence synthetic biology business metabolic engineering computer
Zdroj:	Metabolites : open access journal 10(6), 243 (2020). doi:10.3390/metabo10060243 special issue: "Special Issue "Metabolic Engineering and Synthetic Biology" / Special Issue Editors: Prof. Dr. Lars M. Blank, Guest Editor; Dr. An N.T. Phan, Guest Editor .-Volume 2" Metabolites Metabolites, Vol 10, Iss 243, p 243 (2020)
ISSN:	1006-0243
Popis:	Metabolites 10(6), 243 - (2020). doi:10.3390/metabo10060243 special issue: "Metabolic Engineering and Synthetic Biology Volume 2" (2218-1989) Published by MDPI, Basel
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a02b1d5506e746864faca8b8e427df8b https://publications.rwth-aachen.de/record/792815 Zobrazit plný text záznamu