Application of Machine Learning Solutions to Optimize Parameter Prediction to Enhance Automatic NMR Metabolite Profiling

The quality of automatic metabolite profiling in NMR datasets from complex matrices can be affected by the numerous sources of variability. These sources, as well as the presence of multiple low-intensity signals, cause uncertainty in the metabolite signal parameters. Lineshape fitting approaches of...

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Detalles Bibliográficos
Autores principales: Cañueto, Daniel, Salek, Reza M., Bulló, Mònica, Correig, Xavier, Cañellas, Nicolau
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027668/
https://www.ncbi.nlm.nih.gov/pubmed/35448470
http://dx.doi.org/10.3390/metabo12040283

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027668/
https://www.ncbi.nlm.nih.gov/pubmed/35448470
http://dx.doi.org/10.3390/metabo12040283

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