Fig. 3: Application to cell state transition networks. | npj Systems Biology and Applications

Fig. 3: Application to cell state transition networks.

From: Network inference from perturbation time course data

Fig. 3

a Markov transition model of SUM159 cell states. b Cell proportions over time for SUM159 cells using Markov transition parameters (dots), starting at different initial proportions and respective DL-MRA model fits (lines). c Parameters from DL-MRA estimates of SUM159 data are similarly classified as transformed Markov parameters (See Methods, Eqs. (29) and (30)). d Ground truth versus estimated edge weights across 50 random cell transition networks and noise levels for data from four different total timepoints (3,7,11,21).

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