New Results
Optimal tuning of weighted kNN- and diffusion-based methods for denoising single cell genomics data
View ORCID ProfileAndreas Tjärnberg, Omar Mahmood, View ORCID ProfileChristopher A Jackson, Giuseppe-Antonio Saldi, Kyunghyun Cho, Lionel A Christiaen, Richard A Bonneau
doi: https://doi.org/10.1101/2020.02.28.970202
Andreas Tjärnberg
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
Omar Mahmood
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
Christopher A Jackson
2Center For Genomics and Systems Biology, NYU, New York, NY 10008, USA
3Department of Biology, NYU, New York, NY 10008, USA
Giuseppe-Antonio Saldi
2Center For Genomics and Systems Biology, NYU, New York, NY 10008, USA
Kyunghyun Cho
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
Lionel A Christiaen
1Center for Developmental Genetics, New York University, New York 10003 NY, USA
3Department of Biology, NYU, New York, NY 10008, USA
Richard A Bonneau
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
Posted March 02, 2020.
Optimal tuning of weighted kNN- and diffusion-based methods for denoising single cell genomics data
Andreas Tjärnberg, Omar Mahmood, Christopher A Jackson, Giuseppe-Antonio Saldi, Kyunghyun Cho, Lionel A Christiaen, Richard A Bonneau
bioRxiv 2020.02.28.970202; doi: https://doi.org/10.1101/2020.02.28.970202
Optimal tuning of weighted kNN- and diffusion-based methods for denoising single cell genomics data
Andreas Tjärnberg, Omar Mahmood, Christopher A Jackson, Giuseppe-Antonio Saldi, Kyunghyun Cho, Lionel A Christiaen, Richard A Bonneau
bioRxiv 2020.02.28.970202; doi: https://doi.org/10.1101/2020.02.28.970202
Subject Area
Subject Areas
- Biochemistry (10348)
- Bioengineering (7661)
- Bioinformatics (26311)
- Biophysics (13508)
- Cancer Biology (10672)
- Cell Biology (15426)
- Clinical Trials (138)
- Developmental Biology (8490)
- Ecology (12808)
- Epidemiology (2067)
- Evolutionary Biology (16837)
- Genetics (11383)
- Genomics (15471)
- Immunology (10604)
- Microbiology (25190)
- Molecular Biology (10212)
- Neuroscience (54401)
- Paleontology (401)
- Pathology (1667)
- Pharmacology and Toxicology (2890)
- Physiology (4335)
- Plant Biology (9238)
- Synthetic Biology (2557)
- Systems Biology (6774)
- Zoology (1461)