NRI-MD/visual.py at main · juexinwang/NRI-MD

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import numpy as np

a = np.load('056_500probs_test.npy')

b = a[:, :, 1]

c = a[:, :, 2]

d = a[:, :, 3]

probs = b+c+d

probs = np.reshape(probs, (56,5852))

edges_train= probs/56

results=np.zeros((5852))

for i in range(56):

results=results+edges_train[i,:]

index=results<(0.5)

results[index]= 0

genes=77

edges_results=np.zeros((genes,genes))

count=0

for i in range(genes):

for j in range(genes):

if not i==j:

edges_results[i,j]=results[count]

count+=1

else:

edges_results[i,j]=0

import matplotlib.pyplot as plt

import seaborn as sns

a = edges_results

ax = sns.heatmap(a, linewidth=0.5, cmap="Blues", vmax=1.0, vmin=0.0)

plt.savefig('probs.png', dpi=600)

plt.show()

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