Synthetic heparan sulfate standards and machine learning facilitate the development of solid-state nanopore analysis

Authors
Xia, Ke
Hagan, James T.
Fu, Li
Sheetz, Brian S.
Bhattacharya, Somdatta
Zhang, Fuming
Dwyer, Jason R.
Linhardt, Robert J.
ORCID
https://orcid.org/0000-0003-2219-5833
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Other Contributors
Issue Date
2021-03-16
Keywords
Biology , Chemistry and chemical biology , Chemical and biological engineering , Biomedical engineering
Degree
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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.
Abstract
Synthetic heparan sulfate standards and machine learning facilitate the development of solid-state nanopore analysis
Description
Proceedings of the National Academy of Sciences (USA), 118, e2022806118
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Department
The Linhardt Research Labs.
The Shirley Ann Jackson, Ph.D. Center for Biotechnology and Interdisciplinary Studies (CBIS)
Publisher
Relationships
The Linhardt Research Labs Online Collection
Rensselaer Polytechnic Institute, Troy, NY
Proceedings of the National Academy of Sciences of the United States of America
https://harc.rpi.edu/
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