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Storm: Incorporating transient stochastic dynamics to infer the RNA velocity with metabolic labeling information

Fig 6

RNA velocity analysis of the cell cycle dataset.

The inference strategy involved in this figure is for kinetics/pulse data. A. Comparison of total RNA velocity streamline visualizations between three stochastic methods and Dynamo in cell cycle dataset. B. Comparison of average correctness of total velocity in gene expression space and RFP_GFP space. The p-values are given by the one-sided Wilcoxon test. Here Base refers to the CSP-Baseline model, Splic to the CSP-Splicing model and Switch to the CSP-Switching model. C. Similar to B, comparison of velocity consistency. D. The duration time (unit: hour) of each cell cycle phase of the human RPE1-FUCCI system based on Storm’s CSP-Baseline and Dynamo. E. Total RNA velocity streamlines calculated using Storm’s CSP-Baseline with gene-wise parameters (instead of using gene-cell-wise parameters except for the degradation rate). F. The smoothed expression of DCBLD2 in different cells. G. Comparison of total RNA velocity in DCBLD2 between CSP-Baseline and Dynamo. H. Phase portraits of new-total RNA planes of DCBLD2 of CSP-Baseline and Dynamo. Quivers correspond to the total (x-component) or new (y-component) RNA velocity calculated by the different methods.

Fig 6

doi: https://doi.org/10.1371/journal.pcbi.1012606.g006