New Results
PRIME: a probabilistic imputation method to reduce dropout effects in single cell RNA sequencing
Hyundoo Jeong, Zhandong Liu
doi: https://doi.org/10.1101/2020.01.03.893867
Hyundoo Jeong
1Department of Mechatronics Engineering, Incheon National University, Incheon, 22012, R.O.Korea
Zhandong Liu
2Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX 77030, USA
3Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA
Article usage
Posted January 03, 2020.
PRIME: a probabilistic imputation method to reduce dropout effects in single cell RNA sequencing
Hyundoo Jeong, Zhandong Liu
bioRxiv 2020.01.03.893867; doi: https://doi.org/10.1101/2020.01.03.893867
Subject Area
Subject Areas
- Biochemistry (11744)
- Bioengineering (8751)
- Bioinformatics (29193)
- Biophysics (14968)
- Cancer Biology (12094)
- Cell Biology (17411)
- Clinical Trials (138)
- Developmental Biology (9421)
- Ecology (14178)
- Epidemiology (2067)
- Evolutionary Biology (18303)
- Genetics (12244)
- Genomics (16801)
- Immunology (11866)
- Microbiology (28082)
- Molecular Biology (11592)
- Neuroscience (60959)
- Paleontology (451)
- Pathology (1870)
- Pharmacology and Toxicology (3238)
- Physiology (4957)
- Plant Biology (10427)
- Synthetic Biology (2885)
- Systems Biology (7339)
- Zoology (1651)