Generate permuation scores for the diffusion — permute_seed

This function generate node-degree adjusted permutations of a given diffusion score and adds Z-scores to the object. The function will automatically determine if the original diffusion was a single or tied diffusion and construct permutations accordingly.

Usage

permute_seed_nodes(
  object,
  perm_iters = 1000L,
  random_seed = 10101L,
  .verbose = TRUE
)

Arguments

object: NetworkDiffusions object. The underlying class NetworkDiffusions().
perm_iters: Integer. Number of permutations to test for. Defaults to 1000L.
random_seed: Integer. Random seed for determinism.
.verbose: Boolean. Controls verbosity.

Value

The class with added diffusion score based on a single set of seed genes. Additionally, the seed genes are stored in the class.