Code: file:///build/buildd/nipype-0.6.0/nipype/interfaces/cmtk/nbs.py#L57
Calculates and outputs the average network given a set of input NetworkX gpickle files
For documentation of Network-based statistic parameters:
>>> import nipype.interfaces.cmtk as cmtk
>>> nbs = cmtk.NetworkBasedStatistic()
>>> nbs.inputs.in_group1 = ['subj1.pck', 'subj2.pck']
>>> nbs.inputs.in_group2 = ['pat1.pck', 'pat2.pck']
>>> nbs.run()
Inputs:
[Mandatory]
in_group1: (an existing file name)
Networks for the first group of subjects
in_group2: (an existing file name)
Networks for the second group of subjects
[Optional]
edge_key: (a string, nipype default value: number_of_fibers)
Usually "number_of_fibers, "fiber_length_mean", "fiber_length_std" for matrices made
with CMTKSometimes "weight" or "value" for functional networks.
ignore_exception: (a boolean, nipype default value: False)
Print an error message instead of throwing an exception in case the interface fails to
run
node_position_network: (a file name)
An optional network used to position the nodes for the output networks
number_of_permutations: (an integer, nipype default value: 1000)
Number of permutations to perform
out_nbs_network: (a file name)
Output network with edges identified by the NBS
out_nbs_pval_network: (a file name)
Output network with p-values to weight the edges identified by the NBS
t_tail: ('left' or 'right' or 'both', nipype default value: left)
Can be one of "left", "right", or "both"
threshold: (a float, nipype default value: 3)
T-statistic threshold
Outputs:
nbs_network: (an existing file name)
Output network with edges identified by the NBS
nbs_pval_network: (an existing file name)
Output network with p-values to weight the edges identified by the NBS
network_files: (an existing file name)
Output network with edges identified by the NBS
Code: file:///build/buildd/nipype-0.6.0/nipype/interfaces/cmtk/nbs.py#L25