as_anndata | Convert simulation output to different formats. |
as_dyno | Convert simulation output to different formats. |
as_list | Convert simulation output to different formats. |
as_sce | Convert simulation output to different formats. |
as_seurat | Convert simulation output to different formats. |
backbone | Backbone of the simulation model |
backbone_bifurcating | List of all predefined backbone models |
backbone_bifurcating_converging | List of all predefined backbone models |
backbone_bifurcating_cycle | List of all predefined backbone models |
backbone_bifurcating_loop | List of all predefined backbone models |
backbone_binary_tree | List of all predefined backbone models |
backbone_branching | List of all predefined backbone models |
backbone_consecutive_bifurcating | List of all predefined backbone models |
backbone_converging | List of all predefined backbone models |
backbone_cycle | List of all predefined backbone models |
backbone_cycle_simple | List of all predefined backbone models |
backbone_disconnected | List of all predefined backbone models |
backbone_linear | List of all predefined backbone models |
backbone_linear_simple | List of all predefined backbone models |
backbone_trifurcating | List of all predefined backbone models |
bblego | Design your own custom backbone easily |
bblego_branching | Design your own custom backbone easily |
bblego_end | Design your own custom backbone easily |
bblego_linear | Design your own custom backbone easily |
bblego_start | Design your own custom backbone easily |
combine_models | Combine multiple dyngen models |
dyngen | dyngen: A multi-modal simulator for spearheading single-cell omics analyses |
example_model | A (very!) small toy dyngen model |
experiment_snapshot | Sample cells from the simulations |
experiment_synchronised | Sample cells from the simulations |
feature_network_default | Generate a target network |
generate_cells | Simulate the cells |
generate_dataset | Generate a dataset |
generate_experiment | Sample cells from the simulations |
generate_feature_network | Generate a target network |
generate_gold_standard | Simulate the gold standard |
generate_kinetics | Determine the kinetics of the feature network |
generate_tf_network | Generate a transcription factor network from the backbone |
get_timings | Return the timings of each of the dyngen steps |
gold_standard_default | Simulate the gold standard |
initialise_model | Initial settings for simulating a dyngen dataset |
kinetics_default | Determine the kinetics of the feature network |
kinetics_noise_none | Add small noise to the kinetics of each simulation |
kinetics_noise_simple | Add small noise to the kinetics of each simulation |
kinetics_random_distributions | Determine the kinetics of the feature network |
list_backbones | List of all predefined backbone models |
list_experiment_samplers | Sample cells from the simulations |
plot_backbone_modulenet | Visualise the backbone of a model |
plot_backbone_statenet | Visualise the backbone state network of a model |
plot_experiment_dimred | Plot a dimensionality reduction of the final dataset |
plot_feature_network | Visualise the feature network of a model |
plot_gold_expression | Visualise the expression of the gold standard over simulation time |
plot_gold_mappings | Visualise the mapping of the simulations to the gold standard |
plot_gold_simulations | Visualise the simulations using the dimred |
plot_simulations | Visualise the simulations using the dimred |
plot_simulation_expression | Visualise the expression of the simulations over simulation time |
plot_summary | Plot a summary of all dyngen simulation steps. |
realcounts | A set of real single cell expression datasets |
realnets | A set of gold standard gene regulatory networks |
rnorm_bounded | A bounded version of rnorm |
runif_subrange | A subrange version of runif |
simtime_from_backbone | Determine simulation time from backbone |
simulation_default | Simulate the cells |
simulation_type_knockdown | Simulate the cells |
simulation_type_wild_type | Simulate the cells |
tf_network_default | Generate a transcription factor network from the backbone |
wrap_dataset | Convert simulation output to different formats. |