Towards autonomous analysis of chemical exchange saturation transfer experiments using deep neural networks. (2022)
Attributed to:
Developing Artificial Intelligence and Deep Learning for the analysis of correlation spectroscopy data
funded by
BBSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1007/s10858-022-00395-z
PubMed Identifier: 35622310
Publication URI: http://europepmc.org/abstract/MED/35622310
Type: Journal Article/Review
Volume: 76
Parent Publication: Journal of biomolecular NMR
Issue: 3
ISSN: 0925-2738