New Results

CryoDRGN: Reconstruction of heterogeneous structures from cryo-electron micrographs using neural networks

Ellen D. Zhong, Tristan Bepler, Bonnie Berger, Joseph H. Davis
doi: https://doi.org/10.1101/2020.03.27.003871

Article Information

doi 
https://doi.org/10.1101/2020.03.27.003871
History 
  • March 29, 2020.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Ellen D. Zhong1,2,
  2. Tristan Bepler1,2,
  3. Bonnie Berger2,3,* and
  4. Joseph H. Davis1,4,*
  1. 1Computational and Systems Biology, Massachusetts Institute of Technology, Cambridge, MA 02139
  2. 2Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139
  3. 3Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139
  4. 4Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139
  1. ↵*Correspondence: bab{at}mit.edu, jhdavis{at}mit.edu
Back to top
Posted March 29, 2020.
Download PDF

Supplementary Material

Data/Code
Email
CryoDRGN: Reconstruction of heterogeneous structures from cryo-electron micrographs using neural networks
Ellen D. Zhong, Tristan Bepler, Bonnie Berger, Joseph H. Davis
bioRxiv 2020.03.27.003871; doi: https://doi.org/10.1101/2020.03.27.003871
Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools

Subject Area