Machine Learning Applied to Single-Molecule Activity Prediction-Reference-Cited by-同舟云学术

Machine Learning Applied to Single-Molecule Activity Prediction

Published:2023-11-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
language:
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Author:

Hood Kendric¹^ORCID,Guan Qiang¹^ORCID

Affiliation:

1. Computer Science, Kent State University, United States of America

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3624062.3626083

Reference17 articles.

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3. Mark Bates , Bo Huang , Graham T Dempsey , and Xiaowei Zhuang . 2007. Multicolor super-resolution imaging with photo-switchable fluorescent probes. Science 317, 5845 ( 2007 ), 1749–1753. Mark Bates, Bo Huang, Graham T Dempsey, and Xiaowei Zhuang. 2007. Multicolor super-resolution imaging with photo-switchable fluorescent probes. Science 317, 5845 (2007), 1749–1753.

4. Numan Celik , Fiona O’Brien , Sean Brennan , Richard D Rainbow , Caroline Dart , Yalin Zheng , Frans Coenen , and Richard Barrett-Jolley . 2020. Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data. Communications biology 3, 1 ( 2020 ), 3. Numan Celik, Fiona O’Brien, Sean Brennan, Richard D Rainbow, Caroline Dart, Yalin Zheng, Frans Coenen, and Richard Barrett-Jolley. 2020. Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data. Communications biology 3, 1 (2020), 3.

5. Plasmon-Driven Modulation of Reaction Pathways of Individual Pt-Modified Au Nanorods