cospar.simulate.quantify_transition_peak_TPR_LinearDifferentiation¶
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cospar.simulate.quantify_transition_peak_TPR_LinearDifferentiation(used_map, x_t1, x_t2, dL=1, relative_tolerance=3, diff_sigma=0.5, display=True)¶ Quantify the True positive rate of a transition map for linear differentiation model.
- Parameters
- used_map
Used tmap, in the form of numpy array, or sparse matrix
- x_t1
List of initial cell positions
- x_t2
List of later cell positions
- dL
Unit progression in a single time step
- relative_tolerance
Accept a prediction to be true if its most likely predicted target state is within relative_tolerance*diff_sigma of the expected target state.
- diff_sigma
Strength of differentiation noise.
- display
Show analysis figures if true.
- Returns
Tmap_right_ratio – True positive rate of a transition map