Note

This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.

meierlab.networks.graph.gen_subnetwork_pairs#

meierlab.networks.graph.gen_subnetwork_pairs(G, subgraph_list, subnetwork_label='RSN')[source]#

Generate pairs of networks from graph G to explore and compare.

Parameters:

subgraph_listlist: A list of subnetwork subgraphs.
subnetwork_labelstr, optional: Node label attribute to search, by default “RSN”.

Returns:

dict: A dictionary with keys as pairs of subnetworks (e.g., DMN-VIS) and values as a subgraph with nodes where edges connect nodes from both subnetworks.

Examples

>>> from meierlab.networks import graph
>>> atlas = 'schaefer2018/atlas.csv'
>>> sub_file = 'sub-001.tsv'
>>> G = graph.gen_base_graph_from_atlas(atlas)
>>> g = graph.gen_graph_from_matrix(G,atlas,sub_file)
>>> rsn_list = graph.gen_subnetwork_list(g)
>>> subgraphs = graph.gen_subnetwork_subgraphs(g, rsn_list)
>>> rsn_pairs = graph.gen_subnetwork_pairs(g, subgraphs)
>>> rsn_pairs
{('DMN', 'Visual'): <networkx.classes.graph.Graph at 0x120960460>}