431 citations
- Peking UniversityCN31 papers
- Tsinghua UniversityCN11 papers
- Beijing Academy of Artificial IntelligenceCN5 papers
- Beijing National Laboratory for Molecular SciencesCN5 papers
- University of Chinese Academy of SciencesCN5 papers
- Chinese Academy of SciencesCN4 papers
- Chinese Institute for Brain ResearchCN4 papers
- Institute of PhysicsPL4 papers
- Songshan Lake Materials LaboratoryCN4 papers
- Collaborative Innovation Center of Quantum MatterCN3 papers
- Dana-Farber Cancer InstituteUS3 papers
- Harvard UniversityUS3 papers
Showing 2016Show all
3 papers · 1 filter
q-bio.QM2016★ 7 cited
DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM
Feng Wang, Huichao Gong, Gaochao liu +5
Particle picking is a time-consuming step in single-particle analysis and often requires significant interventions from users, which has become a bottleneck for future automated el…
physics.data-an2016★ 145 cited
A deep convolutional neural network approach to single-particle recognition in cryo-electron microscopy
Yanan Zhu, Qi Ouyang, Youdong Mao
Background: Single-particle cryo-electron microscopy (cryo-EM) has become a popular tool for structural determination of biological macromolecular complexes. High-resolution cryo-E…
physics.data-an2016★ 50 cited
Unsupervised single-particle deep clustering via statistical manifold learning
Jiayi Wu, Yong-Bei Ma, Charles Congdon +4
Motivation: Structural heterogeneity in single-particle cryo-electron microscopy (cryo-EM) data represents a major challenge for high-resolution structure determination. Unsupervis…