Fundamental and practical aspects of machine learning for the peak picking of biomolecular NMR spectra

Rapid progress in machine learning offers new opportunities for the automated analysis of multidimensional NMR spectra ranging from protein NMR to metabolomics applications. Most recently, it has been demonstrated how deep neural networks (DNN) designed for spectral peak picking are capable of decon...

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Detalles Bibliográficos
Autores principales: Li, Da-Wei, Hansen, Alexandar L., Bruschweiler-Li, Lei, Yuan, Chunhua, Brüschweiler, Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9246764/
https://www.ncbi.nlm.nih.gov/pubmed/35389128
http://dx.doi.org/10.1007/s10858-022-00393-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9246764/
https://www.ncbi.nlm.nih.gov/pubmed/35389128
http://dx.doi.org/10.1007/s10858-022-00393-1

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