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Gene network reconstruction using single cell transcriptomic data reveals key factors for embryonic stem cell differentiation
Junil Kim, Simon Toftholm Jakobsen, Kedar Nath Natarajan, Kyoung Jae Won
doi: https://doi.org/10.1101/2019.12.20.884163
Junil Kim
1Biotech Research and Innovation Centre (BRIC), University of Copenhagen, 2200 Copenhagen N, Denmark
2Novo Nordisk Foundation Center for Stem Cell Biology, DanStem, Faculty of Health and Medical Sciences, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark
Simon Toftholm Jakobsen
3Functional Genomics and Metabolism Unit, Department of Biochemistry and Molecular Biology, University of Southern Denmark, Denmark
Kedar Nath Natarajan
3Functional Genomics and Metabolism Unit, Department of Biochemistry and Molecular Biology, University of Southern Denmark, Denmark
4Danish Institute of Advanced Study (D-IAS), University of Southern Denmark, Denmark
Kyoung Jae Won
1Biotech Research and Innovation Centre (BRIC), University of Copenhagen, 2200 Copenhagen N, Denmark
2Novo Nordisk Foundation Center for Stem Cell Biology, DanStem, Faculty of Health and Medical Sciences, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark
Posted December 21, 2019.
Gene network reconstruction using single cell transcriptomic data reveals key factors for embryonic stem cell differentiation
Junil Kim, Simon Toftholm Jakobsen, Kedar Nath Natarajan, Kyoung Jae Won
bioRxiv 2019.12.20.884163; doi: https://doi.org/10.1101/2019.12.20.884163
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