New Results
Highly Multiplexed Single-Cell RNA-seq for Defining Cell Population and Transcriptional Spaces
Jase Gehring, Jong Hwee Park, Sisi Chen, Matthew Thomson, Lior Pachter
doi: https://doi.org/10.1101/315333
Jase Gehring
1Department of Molecular and Cell Biology, University of California, Berkeley
2Division of Biology and Biological Engineering, California Institute of Technology
Jong Hwee Park
2Division of Biology and Biological Engineering, California Institute of Technology
Sisi Chen
2Division of Biology and Biological Engineering, California Institute of Technology
Matthew Thomson
2Division of Biology and Biological Engineering, California Institute of Technology
Lior Pachter
2Division of Biology and Biological Engineering, California Institute of Technology
3Department of Computing and Mathematical Sciences, California Institute of Technology

Article usage
Posted May 05, 2018.
Highly Multiplexed Single-Cell RNA-seq for Defining Cell Population and Transcriptional Spaces
Jase Gehring, Jong Hwee Park, Sisi Chen, Matthew Thomson, Lior Pachter
bioRxiv 315333; doi: https://doi.org/10.1101/315333
Subject Area
Subject Areas
- Biochemistry (10796)
- Bioengineering (8045)
- Bioinformatics (27310)
- Biophysics (13987)
- Cancer Biology (11127)
- Cell Biology (16061)
- Clinical Trials (138)
- Developmental Biology (8788)
- Ecology (13293)
- Epidemiology (2067)
- Evolutionary Biology (17364)
- Genetics (11689)
- Genomics (15924)
- Immunology (11034)
- Microbiology (26091)
- Molecular Biology (10650)
- Neuroscience (56565)
- Paleontology (418)
- Pathology (1732)
- Pharmacology and Toxicology (3005)
- Physiology (4547)
- Plant Biology (9630)
- Synthetic Biology (2689)
- Systems Biology (6978)
- Zoology (1510)