New Results
Uncovering hidden biological processes by probabilistic filtering of single-cell data
View ORCID ProfileZoe Piran, View ORCID ProfileMor Nitzan
doi: https://doi.org/10.1101/2023.01.18.524512
Zoe Piran
1School of Computer Science and Engineering, The Hebrew University, Jerusalem, Israel
Mor Nitzan
1School of Computer Science and Engineering, The Hebrew University, Jerusalem, Israel
2Racah Institute of Physics, The Hebrew University, Jerusalem, Israel
3Faculty of Medicine, The Hebrew University, Jerusalem, Israel
Article usage
Posted January 20, 2023.
Uncovering hidden biological processes by probabilistic filtering of single-cell data
Zoe Piran, Mor Nitzan
bioRxiv 2023.01.18.524512; doi: https://doi.org/10.1101/2023.01.18.524512
Subject Area
Subject Areas
- Biochemistry (12775)
- Bioengineering (9661)
- Bioinformatics (31217)
- Biophysics (16081)
- Cancer Biology (13159)
- Cell Biology (18819)
- Clinical Trials (138)
- Developmental Biology (10195)
- Ecology (15169)
- Epidemiology (2067)
- Evolutionary Biology (19381)
- Genetics (12869)
- Genomics (17760)
- Immunology (12891)
- Microbiology (30163)
- Molecular Biology (12588)
- Neuroscience (65830)
- Paleontology (486)
- Pathology (2035)
- Pharmacology and Toxicology (3513)
- Physiology (5440)
- Plant Biology (11275)
- Synthetic Biology (3113)
- Systems Biology (7760)
- Zoology (1756)