Article Information
History
- March 2, 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
- Andreas Tjärnberg1,2,3,*,
- Omar Mahmood5,6,
- Christopher A Jackson2,3,
- Giuseppe-Antonio Saldi2,
- Kyunghyun Cho5,6,
- Lionel A Christiaen1,3 and
- Richard A Bonneau2,3,4,5,6,*
- 1Center for Developmental Genetics, New York University, New York 10003 NY, USA
- 2Center For Genomics and Systems Biology, NYU, New York, NY 10008, USA
- 3Department of Biology, NYU, New York, NY 10008, USA
- 4Flatiron Institute, Center for Computational Biology, Simons Foundation, New York, NY 10010, USA
- 5Courant Institute of Mathematical Sciences, Computer Science Department, New York University, New York, NY 10003, USA
- 6Center For Data Science, NYU, New York, NY 10008, USA
- ↵*Correspondence: at145{at}nyu.edu and rb133{at}nyu.edu
Posted March 02, 2020.
Optimal tuning of weighted kNN- and diffusion-based methods for denoising single cell genomics data
