Synthetic heparan sulfate standards and machine learning facilitate the development of solid-state nanopore analysis
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https://orcid.org/0000-0003-2219-5833
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ENG
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Abstract
Synthetic heparan sulfate standards and machine learning facilitate the development of solid-state nanopore analysis
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Proceedings of the National Academy of Sciences (USA), 118, e2022806118
Note : if this item contains full text it may be a preprint, author manuscript, or a Gold OA copy that permits redistribution with a license such as CC BY. The final version is available through the publisher’s platform.
Note : if this item contains full text it may be a preprint, author manuscript, or a Gold OA copy that permits redistribution with a license such as CC BY. The final version is available through the publisher’s platform.
Full Citation
Synthetic heparan sulfate standards and machine learning facilitate the development of solid-state nanopore analysis, K. Xia, J. T. Hagan, L. Fu, B. S. Sheetz, S. Bhattacharya, F. Zhang, J. R. Dwyer, R. J. Linhardt, Proceedings of the National Academy of Sciences (USA), 118, e2022806118, 2021.
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10916490
278424
278424