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A bootstrapping clustering algorithm for Python

Project Description

A multi-level, open-source, Nipype-based, parcellation pipeline for preprocessed functional MRI data. Designed for use by both novice and expert users, BASC allows individual to find reproducible and reliable clusters at the individual and group level.





1- Subject file 2- roi_mask_file: 3- dataset_boostraps: 4- n_clusters 5- output_size 6- bootstrap_list= 7- cross cluster 8- roi2_mask_file 9- cbb_block_size 10-affinity_threshold 11-out_dir 12-run


1- individual_stabilty_matrix- a voxelwise stability matrix of the clustering solution for each individual 2- group_stability_matrix- a voxelwise stability matrix for all subjects 3- gsmap - an voxel by cluster matrix with average within cluster

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
PyBASC-0.0.4-py2.py3-none-any.whl (3.2 kB) Copy SHA256 Checksum SHA256 py2.py3 Wheel Sep 13, 2017
PyBASC-0.0.4.tar.gz (3.0 kB) Copy SHA256 Checksum SHA256 Source Sep 13, 2017

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