Using Curriculum Learning in Pattern Recognition of 3-dimensional Cryo-electron Microscopy Density Maps
Author:
Affiliation:
1. Department of Computer Science, Old Dominion University, Norfolk VA USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3388440.3414710
Reference26 articles.
1. IDENTIFICATION OF α-HELICES FROM LOW RESOLUTION PROTEIN DENSITY MAPS
2. Identification of Secondary Structure Elements in Intermediate-Resolution Density Maps
3. A Machine Learning Approach for the Identification of Protein Secondary Structure Elements from Electron Cryo-Microscopy Density Maps
Cited by 3 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. Determining Protein Secondary Structures in Heterogeneous Medium-Resolution Cryo-EM Images Using CryoSSESeg;ACS Omega;2024-06-08
2. An Approach to Developing Benchmark Datasets for Protein Secondary Structure Segmentation from Cryo-EM Density Maps;Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics;2023-09-03
3. A Tool for Segmentation of Secondary Structures in 3D Cryo-EM Density Map Components Using Deep Convolutional Neural Networks;Frontiers in Bioinformatics;2021-11-03
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