generate_tf_network | R Documentation |
generate_tf_network()
generates the transcription factors (TFs) that
drive the dynamic process a cell undergoes.
tf_network_default()
is used to configure parameters pertaining this process.
generate_tf_network(model) tf_network_default( min_tfs_per_module = 1L, sample_num_regulators = function() 2, weighted_sampling = FALSE )
model |
A dyngen initial model created with |
min_tfs_per_module |
The number of TFs to generate per module in the backbone. |
sample_num_regulators |
A function to generate the number of TFs per module each TF will be regulated by. |
weighted_sampling |
When determining what TFs another TF is regulated by, whether to perform weighted sampling (by rank) or not. |
A dyngen model.
dyngen on how to run a complete dyngen simulation
model <- initialise_model( backbone = backbone_bifurcating() ) model <- model %>% generate_tf_network() plot_feature_network(model)
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