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