New Results
Bayesian Gaussian Process Latent Variable Models for pseudotime inference in single-cell RNA-seq data
Kieran Campbell, Christopher Yau
doi: https://doi.org/10.1101/026872
Kieran Campbell
1MRC Functional Genomics Unit, University of Oxford, UK
Christopher Yau
2Wellcome Trust Centre for Human Genetics, University of Oxford, UK
3Department of Statistics, University of Oxford, UK
Article usage
Posted September 15, 2015.
Bayesian Gaussian Process Latent Variable Models for pseudotime inference in single-cell RNA-seq data
Kieran Campbell, Christopher Yau
bioRxiv 026872; doi: https://doi.org/10.1101/026872
Subject Area
Subject Areas
- Biochemistry (13412)
- Bioengineering (10211)
- Bioinformatics (32650)
- Biophysics (16840)
- Cancer Biology (13899)
- Cell Biology (19733)
- Clinical Trials (138)
- Developmental Biology (10665)
- Ecology (15776)
- Epidemiology (2067)
- Evolutionary Biology (20086)
- Genetics (13258)
- Genomics (18406)
- Immunology (13502)
- Microbiology (31625)
- Molecular Biology (13178)
- Neuroscience (68896)
- Paleontology (512)
- Pathology (2137)
- Pharmacology and Toxicology (3686)
- Physiology (5751)
- Plant Biology (11829)
- Synthetic Biology (3317)
- Systems Biology (8053)
- Zoology (1821)