Computes Jaccard similarity between top regulators in two sets of networks across a range of top X regulators

JI_across_topregs(
  netlist1,
  netlist2,
  n_regs = 3:15,
  func = "mean",
  method = "pagerank",
  weight_column = "zscore",
  compare_within_netlist1 = TRUE,
  compare_within_netlist2 = TRUE
)

Arguments

netlist1: list of grnDFs
netlist2: list of grnDFs
n_regs: a vector indicating which values of top regulators to scan across
func: func
method: method to find top regulators. Currently only supports "pagerank"
weight_column: column name in grnDFs containing edge weights
compare_within_netlist1: whether or not to do pairwise comparisons between networks in netlist1
compare_within_netlist2: whether or not to do pairwise comparisons between networks in netlist2

Value

dataframe of Jaccard similarities of top regulators