I am trying to run network based statistic on graphs from diffusion MRI data. I have the adjacency matrices of the graphs as csv files. I am wondering if it is possible to use
cmtk.NetworkBasedStatistic() with a csv file. As far as I can see the documentation does not specify the required filetype.
My code currently looks as follows:
import numpy as np
from numpy import genfromtxt
import nipype.interfaces.cmtk as cmtk
# Create list of filenames
cur_path = '/Users/.../'
files = os.listdir(cur_path)
graphnames = 
for names in files:
# Network Based Statistic
nbs = cmtk.NetworkBasedStatistic()
filesedited = [cur_path + file for file in files]
nbs.inputs.in_group1 = filesedited[0:23]
nbs.inputs.in_group2 = filesedited[23:len(files)+1]
network,pval,files = nbs.run()
I get the following error:
Traceback (most recent call last):
File "nbs_try.py", line 34, in <module>
File "/usr/local/lib/python3.6/site-packages/nipype/interfaces/base.py", line 1081, in run
runtime = self._run_wrapper(runtime)
File "/usr/local/lib/python3.6/site-packages/nipype/interfaces/base.py", line 1029, in _run_wrapper
runtime = self._run_interface(runtime)
File "/usr/local/lib/python3.6/site-packages/nipype/interfaces/cmtk/nbs.py", line 87, in _run_interface
X = ntwks_to_matrices(self.inputs.in_group1, edge_key)
File "/usr/local/lib/python3.6/site-packages/nipype/interfaces/cmtk/nbs.py", line 28, in ntwks_to_matrices
first = nx.read_gpickle(in_files)
File "<decorator-gen-174>", line 2, in read_gpickle
File "/usr/local/lib/python3.6/site-packages/networkx/utils/decorators.py", line 220, in _open_file
result = func(*new_args, **kwargs)
File "/usr/local/lib/python3.6/site-packages/networkx/readwrite/gpickle.py", line 101, in read_gpickle
_pickle.UnpicklingError: invalid load key, '\x00'.
Interface NetworkBasedStatistic failed to run.
Unfortunately I am not familiar with the way Unpickling works and wasn’t able to find out what the problem is. I would greatly appreciate any suggestions.
Edit: Solved. I am still not sure how to interpret the Error message, but it disappeared by using Networkx to transform the files from CSV to pck format:
G = nx.from_numpy_matrix(graph)