Author, as appears in the article.: Daniel Cañueto, Reza M. Salek, Mònica Bulló, Xavier Correig, Nicolau Cañellas
Department: Enginyeria Electrònica, Elèctrica i Automàtica
URV's Author/s: Bulló Bonet, Mònica / Cañellas Alberich, Nicolau / Correig Blanchar, Francesc Xavier
Keywords: Spectra Profiling Nmr Machine learning Automatic profiling quantification nmr mixtures metabolomics machine learning deconvolution 1d
Thematic Areas: Molecular biology Medicina ii Farmacia Endocrinology, diabetes and metabolism Ciências biológicas ii Ciências biológicas i Biotecnología Biochemistry & molecular biology Biochemistry
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: xavier.correig@urv.cat nicolau.canyellas@urv.cat monica.bullo@urv.cat
Author identifier: 0000-0002-6902-3054 0000-0003-4856-8132 0000-0002-0218-7046
Record's date: 2023-02-19
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://www.mdpi.com/2218-1989/12/4/283
Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Metabolites. 12 (4): 283-
APA: Daniel Cañueto, Reza M. Salek, Mònica Bulló, Xavier Correig, Nicolau Cañellas (2022). Application of Machine Learning Solutions to Optimize Parameter Prediction to Enhance Automatic NMR Metabolite Profiling. Metabolites, 12(4), 283-. DOI: 10.3390/metabo12040283
Article's DOI: 10.3390/metabo12040283
Entity: Universitat Rovira i Virgili
Journal publication year: 2022
Publication Type: Journal Publications