A Fully-Automated Workflow for Reproducible Ensemble Graph Analysis of Functional and Structural Connectomes
PyNets harnesses the power of Nipype, Nilearn, Dipy, and Networkx packages to automatically generate graphical ensembles on a subject-by-subject basis, using virtually any combination of graph hyperparameters. PyNets utilities can be integrated with any existing preprocessing workflow, and a docker container is provided to uniquely facilitate complete reproducibility of executions.
Official installation, user-guide, and API docs now live here: https://pynets.readthedocs.io/en/latest/
A manuscript is in preparation, but for now, please cite all uses with reference to the github repository: https://github.com/dPys/PyNets