generate_experiment() runs samples cells along the different simulations.
experiment_snapshot() assumes that cells are sampled from a heterogeneous pool of cells.
Cells will thus be sampled uniformily from the trajectory.
experiment_synchronised() assumes that all the cells are synchronised and
are sampled at different timepoints.
generate_experiment(model) list_experiment_samplers() experiment_snapshot( realcount = NULL, map_reference_cpm = TRUE, map_reference_ls = TRUE, weight_bw = 0.1 ) experiment_synchronised( realcount = NULL, map_reference_cpm = TRUE, map_reference_ls = TRUE, num_timepoints = 8, pct_between = 0.75 )
A dyngen intermediary model for which the simulations have been run with
Whether or not to try to match the CPM distribution to that of a reference dataset.
Whether or not to try to match the distribution of the library sizes to that of the reference dataset.
[snapshot] A bandwidth parameter for determining the distribution of cells along each edge in order to perform weighted sampling.
[synchronised] The number of time points used in the experiment.
[synchronised] The percentage of 'unused' simulation time.
A dyngen model.
names(list_experiment_samplers())#>  "snapshot" "synchronised"