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Dynamical Systems Model of RNA Velocity Improves Inference of Single-cell Trajectory,Pseudo-time and Gene Regulation |
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| Affiliation: | 1. Department of Electrical Engineering, Stanford University, Stanford, CA, USA;2. Chan-Zuckerberg Biohub, San Francisco, CA, USA;3. Karolinska Institute, Stockholm, Sweden;4. Department of Biomedical Data Science, Stanford University, Stanford, CA, USA |
| Abstract: | |
| Keywords: | single-cell RNA sequencing RNA velocity expression dynamics dynamical systems model of biology machine learning |
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