New Results
Cancer phylogenetics using single-cell RNA-seq data
View ORCID ProfileJiří C. Moravec, View ORCID ProfileRob Lanfear, View ORCID ProfileDavid L. Spector, View ORCID ProfileSarah D. Diermeier, View ORCID ProfileAlex Gavryushkin
doi: https://doi.org/10.1101/2021.01.07.425804
Jiří C. Moravec
1Department of Computer Science, University of Otago, New Zealand
Rob Lanfear
2Ecology, Evolution, and Genetics, The Australian National University, Australia
David L. Spector
3Cold Spring Harbor Laboratory, New York, United States of America
Sarah D. Diermeier
4Department of Biochemistry, University of Otago, New Zealand
Alex Gavryushkin
1Department of Computer Science, University of Otago, New Zealand
5School of Mathematics and Statistics, University of Canterbury, New Zealand
Article usage
Posted July 27, 2021.
Cancer phylogenetics using single-cell RNA-seq data
Jiří C. Moravec, Rob Lanfear, David L. Spector, Sarah D. Diermeier, Alex Gavryushkin
bioRxiv 2021.01.07.425804; doi: https://doi.org/10.1101/2021.01.07.425804
Subject Area
Subject Areas
- Biochemistry (11740)
- Bioengineering (8750)
- Bioinformatics (29189)
- Biophysics (14967)
- Cancer Biology (12093)
- Cell Biology (17410)
- Clinical Trials (138)
- Developmental Biology (9420)
- Ecology (14178)
- Epidemiology (2067)
- Evolutionary Biology (18301)
- Genetics (12239)
- Genomics (16797)
- Immunology (11865)
- Microbiology (28070)
- Molecular Biology (11583)
- Neuroscience (60953)
- Paleontology (451)
- Pathology (1870)
- Pharmacology and Toxicology (3238)
- Physiology (4957)
- Plant Biology (10425)
- Synthetic Biology (2884)
- Systems Biology (7338)
- Zoology (1651)