Write a script which can calculate the degree and clustering coefficient for every node (protein) in...

Question

Write a script which can calculate the degree and clustering coefficient for every node (protein) in the human protein interaction network (attached). Now calculate the average clustering coefficient of the network. Finally, test whether the network has a scale-free structure by plotting the degree distribution ?• Now write another script that can calculate the shortest path lengths between every pair of nodes (proteins) in the attached files (two files are attached). Compare the path length distributions between the two protein sets using a wilcox test.
(I want only the pyhton code separately)

human-ppi-f3nmocg5.txt protein-list1-lwvhcxbi.txt protein-list2-4hz13bug.txt assignment-5-nh3ebyhg-z00ffrtv.zip

Pushpendra · Accepted Answer

import pandas as pd
import numpy as np
import networkx as nx
df=pd.read_csv("human-ppi-f3nmocg5.txt")
df=pd.DataFrame(np.array(df))
data_list=[]
for i in range(df.shape[0]):
    data=df.iloc[i][0].split('	')
    data_list.append(data)
nodes=[]
for i in range(len(data_list)):
    if(nodes.count(data_list[i][0])==0):
        nodes.append(data_list[i][0])
    if(nodes.count(data_list[i][1])==0):
        nodes.append(data_list[i][1])
edges={}
for i in range(len(nodes)):
    edges[nodes[i]]=[]
for i in range(len(data_list)):

Write a script which can calculate the degree and clustering coefficient for every node (protein) in the human protein interaction network (attached). Now calculate the average clustering coefficient...

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