net_summary_bin {KBoost} | R Documentation |
Function to summarize the GRN filtered with a threshold,
net_summary_bin(GRN, TFs, thr, a, b)
GRN |
An inferred network |
TFs |
A vector with indexes of the rows of GRN which correspond to TFs. |
thr |
a scalar between 0 and 1, a threshold for posterior probabilities. |
a |
parameter for Katz and PageRank centrality (default the inverse of the largest eigenvalue of GRN. |
b |
parameter for Katz and PageRank centrality (default b = 1). |
list with table version of the GRN, outdegree and indegree, and closeness centrality.
data(D4_multi_1) Net = kboost(D4_multi_1) Net_Summary = net_summary_bin(Net$GRN)