def main():
data = load_data()
fgraph = nx.Graph(data.functions)
hgraph = nx.Graph(data.humanppi)
T = Table(name='proteindata')
for p, ans in data.test1:
T.add('Protein', p)
T.add('Degree', p.degree(hgraph))
T.add('CP Degree', p.cp_degree(hgraph))
T.add('Fn CP Degree', p.fn_cp_degree(hgraph, fgraph))
T.add('Fn CP Weight', p.fn_cp_weight(hgraph, fgraph))
T.add('Cancer Weight', p.cancerweight(hgraph, fgraph))
T.add('CP Degree Nbrs', p.cp_degree_of_neighbors(hgraph))
T.add('Answer', ans)
T.order = [
'Protein', 'Degree', 'CP Degree', 'Fn CP Degree', 'Fn CP Weight',
'Cancer Weight', 'CP Degree Nbrs', 'Answer'
]
write_table_to_file(T, 'test1data.csv')
def main():
data = load_data()
fgraph = nx.Graph(data.functions)
hgraph = nx.Graph(data.humanppi)
T = Table(name='proteindata')
for p, ans in data.test1:
T.add('Protein', p)
T.add('Degree', p.degree(hgraph) )
T.add('CP Degree', p.cp_degree(hgraph) )
T.add('Fn CP Degree', p.fn_cp_degree(hgraph, fgraph) )
T.add('Fn CP Weight', p.fn_cp_weight(hgraph, fgraph))
T.add('Cancer Weight', p.cancerweight(hgraph, fgraph))
T.add('CP Degree Nbrs', p.cp_degree_of_neighbors(hgraph))
T.add('Answer', ans)
T.order = ['Protein', 'Degree', 'CP Degree', 'Fn CP Degree',
'Fn CP Weight', 'Cancer Weight', 'CP Degree Nbrs',
'Answer']
write_table_to_file(T, 'test1data.csv')
