def check_prior_recovery(net_fn, priors_fn):
(net, genes, tfs) = load_network(net_fn)
(p, sign) = load_priors(priors_fn, '1')
pcon = fl.priors_to_constraints(['1'], [genes],[tfs],p,0.5)
prior_inter = []
for con in pcon:
prior_inter.append(net[con.c1.r, con.c1.c])
return (np.array(prior_inter), np.array(sign))
def check_prior_corr(expr_fn, tfs_fn, priors_fn):
(e, t, genes, tfs) = load_bacteria(expr_fn, tfs_fn)
(p, s) = load_priors(priors_fn,'1')
pcon = fl.priors_to_constraints(['1'], [genes],[tfs],p,0.5)
prior_corr = []
for con in pcon:
tfi = con.c1.r
gi = con.c1.c
tf_expr = t[:, tfi]
g_expr = e[:, gi]
corr = np.corrcoef(tf_expr, g_expr)[0,1]
prior_corr.append(corr)
return (prior_corr, s)
