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CellOracle: Dissecting cell identity via network inference and in silico gene perturbation
View ORCID ProfileKenji Kamimoto, View ORCID ProfileChristy M. Hoffmann, View ORCID ProfileSamantha A. Morris
doi: https://doi.org/10.1101/2020.02.17.947416
Kenji Kamimoto
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
Christy M. Hoffmann
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 April 21, 2020.
CellOracle: Dissecting cell identity via network inference and in silico gene perturbation
Kenji Kamimoto, Christy M. Hoffmann, Samantha A. Morris
bioRxiv 2020.02.17.947416; doi: https://doi.org/10.1101/2020.02.17.947416
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