Plot an interactive correlation network with communities highlighted

Plot an interactive correlation network with communities highlighted

plot_correlation_network(res, idx = NULL, source = "name_1",
  target = "name_2", cluster = NULL, df_corr = NULL,
  var_p_val = "p_corr", var_r_corr = "r_corr", r_corr_thresh = 0.8,
  p_val_thresh = 0.05, ...)

Arguments

res	an InteRactome
idx	indexes of the set of proteins in res for which correlations will be computed.
source	variable of df_corr with the names of the source protein
target	variable of df_corr with the names of the target protein
cluster	named vector containing the cluster number for each node
df_corr	a data.frame with columns 'r_corr' and 'p_corr'. Has priority over parameters res.
var_p_val	variable for which the threshold p_val_thresh will be applied. Set to 'p_corr' by default
var_r_corr	variable for which the threshold r_corr_thresh will be applied. Set to 'r_corr' by default
r_corr_thresh	threshold for variable 'r_corr' (min)
p_val_thresh	threshold for variable var_p_val (max)
...	other parameters passed to function compute_correlations()

Value

an interactive networkD3 plot