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Capybara: A computational tool to measure cell identity and fate transitions
View ORCID ProfileWenjun Kong, View ORCID ProfileYuheng C. Fu, View ORCID ProfileSamantha A. Morris
doi: https://doi.org/10.1101/2020.02.17.947390
Wenjun Kong
1Department of Developmental Biology, Washington University School of Medicine in St. Louis. 660 S. Euclid Avenue, Campus Box 8103, St. Louis, MO 63110, USA
2Department of Genetics, Washington University School of Medicine in St. Louis. 660 S. Euclid Avenue, Campus Box 8103, St. Louis, MO 63110, USA
3Center of Regenerative Medicine. Washington University School of Medicine in St. Louis. 660 S. Euclid Avenue, Campus Box 8103, St. Louis, MO 63110, USA
Yuheng C. Fu
1Department of Developmental Biology, Washington University School of Medicine in St. Louis. 660 S. Euclid Avenue, Campus Box 8103, St. Louis, MO 63110, USA
2Department of Genetics, Washington University School of Medicine in St. Louis. 660 S. Euclid Avenue, Campus Box 8103, St. Louis, MO 63110, USA
3Center of Regenerative Medicine. Washington University School of Medicine in St. Louis. 660 S. Euclid Avenue, Campus Box 8103, St. Louis, MO 63110, USA
Samantha A. Morris
1Department of Developmental Biology, Washington University School of Medicine in St. Louis. 660 S. Euclid Avenue, Campus Box 8103, St. Louis, MO 63110, USA
2Department of Genetics, Washington University School of Medicine in St. Louis. 660 S. Euclid Avenue, Campus Box 8103, St. Louis, MO 63110, USA
3Center of Regenerative Medicine. Washington University School of Medicine in St. Louis. 660 S. Euclid Avenue, Campus Box 8103, St. Louis, MO 63110, USA
Posted February 17, 2020.
Capybara: A computational tool to measure cell identity and fate transitions
Wenjun Kong, Yuheng C. Fu, Samantha A. Morris
bioRxiv 2020.02.17.947390; doi: https://doi.org/10.1101/2020.02.17.947390
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