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Analyses of Multi-dimensional Single Cell Trajectories Quantify Transition Paths Between Nonequilibrium Steady States

Weikang Wang, Jianhua Xing
doi: https://doi.org/10.1101/2020.01.27.920371
Weikang Wang
1Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15232, USA
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Jianhua Xing
1Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15232, USA
2Department of Physics, University of Pittsburgh, Pittsburgh, PA 15232, USA
3UPMC-Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
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  • For correspondence: xing1@pitt.edu
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doi 
https://doi.org/10.1101/2020.01.27.920371
History 
  • January 28, 2020.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

Author Information

  1. Weikang Wang1 and
  2. Jianhua Xing1,2,3,*
  1. 1Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15232, USA
  2. 2Department of Physics, University of Pittsburgh, Pittsburgh, PA 15232, USA
  3. 3UPMC-Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
  1. ↵*To whom correspondence should be addressed. Email: xing1{at}pitt.edu
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Posted January 28, 2020.
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Analyses of Multi-dimensional Single Cell Trajectories Quantify Transition Paths Between Nonequilibrium Steady States
Weikang Wang, Jianhua Xing
bioRxiv 2020.01.27.920371; doi: https://doi.org/10.1101/2020.01.27.920371
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Analyses of Multi-dimensional Single Cell Trajectories Quantify Transition Paths Between Nonequilibrium Steady States
Weikang Wang, Jianhua Xing
bioRxiv 2020.01.27.920371; doi: https://doi.org/10.1101/2020.01.27.920371

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