New Results
CryoTEN: Efficiently Enhancing Cryo-EM Density Maps Using Transformers
View ORCID ProfileJoel Selvaraj, Liguo Wang, View ORCID ProfileJianlin Cheng
doi: https://doi.org/10.1101/2024.09.06.611715
Joel Selvaraj
1Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, 65211, MO, United States
2NextGen Precision Health, University of Missouri, Columbia, 65211, MO, United States
Liguo Wang
3Laboratory for BioMolecular Structure (LBMS), Brookhaven National Laboratory, Upton, 11973, NY, United States
Jianlin Cheng
1Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, 65211, MO, United States
2NextGen Precision Health, University of Missouri, Columbia, 65211, MO, United States
Article usage
Posted September 11, 2024.
CryoTEN: Efficiently Enhancing Cryo-EM Density Maps Using Transformers
Joel Selvaraj, Liguo Wang, Jianlin Cheng
bioRxiv 2024.09.06.611715; doi: https://doi.org/10.1101/2024.09.06.611715
Subject Area
Subject Areas
- Biochemistry (13396)
- Bioengineering (10205)
- Bioinformatics (32618)
- Biophysics (16796)
- Cancer Biology (13872)
- Cell Biology (19703)
- Clinical Trials (138)
- Developmental Biology (10648)
- Ecology (15762)
- Epidemiology (2067)
- Evolutionary Biology (20068)
- Genetics (13250)
- Genomics (18393)
- Immunology (13491)
- Microbiology (31585)
- Molecular Biology (13173)
- Neuroscience (68822)
- Paleontology (511)
- Pathology (2134)
- Pharmacology and Toxicology (3685)
- Physiology (5747)
- Plant Biology (11804)
- Synthetic Biology (3313)
- Systems Biology (8050)
- Zoology (1819)