Employing fingerprinting of medicinal plants by means of LC-MS and machine learning for species identification task

A dataset of liquid chromatography-mass spectrometry measurements of medicinal plant extracts from 74 species was generated and used for training and validating plant species identification algorithms. Various strategies for data handling and feature space extraction were tested. Constrained Tucker...

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Detalles Bibliográficos
Autores principales: Kharyuk, Pavel, Nazarenko, Dmitry, Oseledets, Ivan, Rodin, Igor, Shpigun, Oleg, Tsitsilin, Andrey, Lavrentyev, Mikhail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6243014/
https://www.ncbi.nlm.nih.gov/pubmed/30451976
http://dx.doi.org/10.1038/s41598-018-35399-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6243014/
https://www.ncbi.nlm.nih.gov/pubmed/30451976
http://dx.doi.org/10.1038/s41598-018-35399-z

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