Description Usage Arguments Value References Examples
Creates a collection of modules containing randomly samples genes.
1 2 3 4 5 6 7 8 9 10 11 | create_modules_for_network(
n_modules,
p,
avg_module_size = 50,
sd_module_size = 50,
min_module_size = 10,
max_module_size = 200,
sample_link_nodes_fn = sample_link_nodes,
sample_module_nodes_fn = sample_module_nodes,
...
)
|
n_modules |
The number of modules to include in the network. |
p |
The number of nodes in the network. |
avg_module_size |
The average number of nodes in a module. |
sd_module_size |
The standard deviation of module size. |
min_module_size |
The minimum number of nodes in a module. |
max_module_size |
A positive value. Any generated module sizes above this value will be reduced to 'max_module_size'. Set to 'Inf' to avoid this truncation. |
sample_link_nodes_fn |
A function used for sampling link nodes for a new module. |
sample_module_nodes_fn |
A function used for sampling nodes for a new module. |
... |
Additional arguments passed to |
A list containing the indices for genes contained in each module.
grimes21SeqNet
1 2 3 4 5 6 | # Create a two modules (having random structures and sizes) from a pool
# of 100 nodes.
create_modules_for_network(n_modules = 2, p = 100)
# Set n_modules = NULL to continue making modules until all nodes have
# been selected at least once.
create_modules_for_network(n_modules = NULL, p = 100)
|
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