Constructs a condition-specific gene regulatory network based on differential expression results using the PCSF algorithm.
construct_ppi_pcsf(
g,
prizes,
w = 2,
b = 1,
mu = 5e-04,
seed = 1,
min_nodes = 1
)An igraph object representing the extracted subnetwork. Returns NULL invisibly if no prize genes are present, the subnetwork is too small, or the PCSF algorithm fails.
An igraph object representing the extracted subnetwork. Returns NULL invisibly if no prize genes are present, the subnetwork is too small, or the PCSF algorithm fails
An igraph object representing the base network.
A named numeric vector of gene scores (prizes). Names must match vertex names in g.
Numeric. Edge cost scaling weight. Default is 2.
Numeric. Balance between prizes and edge costs. Default is 1.
Numeric. Trade-off parameter for sparsity. Default is 5e-04.
Integer. Random seed. Default is 1.
Integer. Minimum number of nodes in subnetwork. Default is 1.