Skip to main content
Warning: You are using the test version of PyPI. This is a pre-production deployment of Warehouse. Changes made here affect the production instance of TestPyPI (testpypi.python.org).
Help us improve Python packaging - Donate today!

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.

Website

Installation

Documentation

Inputs:

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

Outputs:

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

Upcoming updates:

Release History

Release History

This version
History Node

0.0.4

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

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

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting