A Method for Fully Automated Particle Picking in Cryo-Electron Microscopy Based on a CNN-Reference-Cited by-同舟云学术

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A Method for Fully Automated Particle Picking in Cryo-Electron Microscopy Based on a CNN

Published:2018-08-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
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Author:

Da Ting¹,Ding Jianzhong²,Yang Liang³,Chirikjian Gregory⁴

Affiliation:

1. Xi'an Microelectronics Technology Institute & Johns Hopkins University, Xi'an, China

2. Beihang University & Johns Hopkins University, Beijing, China

3. Xi'an Microelectronics Technology Institute, Xi'an, China

4. Johns Hopkins University, Baltimore , MD, USA

Funder

National Institute of General Medical Sciences of the National Institutes of Health

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3233547.3233706

Reference22 articles.

1. Experimental evaluation of support vector machine-based and correlation-based approaches to automatic particle selection

2. Large-Scale Machine Learning with Stochastic Gradient Descent

3. Historical background: why is it important to improve automated particle selection methods?

4. Historical background: why is it important to improve automated particle selection methods?

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. REPIC — an ensemble learning methodology for cryo-EM particle picking;2023-05-14

2. Volumetric macromolecule identification in cryo-electron tomograms using capsule networks;BMC Bioinformatics;2022-08-30

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