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data, sample_times = bscrlin.py_PropagateCells( initial_cell_states = Ncells, timepoints = timepoints, sample_times = sample_times, Model = M, safe = False)
Using a model with no birth/death/growth
If the system starts with N cells, there should be N cells the entire time. However, for sample times not including the first or last timepoint, there are 2N cells returned. By eye, these cells seem to be duplicates suggesting that some cells are being copied in the propogate cell list twice over for different timepoints.
Note: This does not seem to occur when using the Turbidostat.
The text was updated successfully, but these errors were encountered:
When running code like:
data, sample_times = bscrlin.py_PropagateCells( initial_cell_states = Ncells, timepoints = timepoints, sample_times = sample_times, Model = M, safe = False)
Using a model with no birth/death/growth
If the system starts with N cells, there should be N cells the entire time. However, for sample times not including the first or last timepoint, there are 2N cells returned. By eye, these cells seem to be duplicates suggesting that some cells are being copied in the propogate cell list twice over for different timepoints.
Note: This does not seem to occur when using the Turbidostat.
The text was updated successfully, but these errors were encountered: