Metadata-Version: 2.1
Name: PyBASC
Version: 0.6.0
Summary: Bootstrap Analysis for Stable Clustering in Python
Home-page: https://github.com/akinikolaidis/pybasc
Author: Aki Nikolaidis
Author-email: aki.nikolaidis@childmind.org
License: MIT
Keywords: parcellation bagging functional neuroimaging nipype nipy nibabel nilearn scikit-learn
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Provides-Extra: test
Requires-Dist: nilearn
Requires-Dist: scikit-learn
Requires-Dist: nibabel
Requires-Dist: nipype
Requires-Dist: scipy
Requires-Dist: scipy
Requires-Dist: numpy
Requires-Dist: pyyaml
Provides-Extra: test
Requires-Dist: pytest-cov; extra == 'test'
Requires-Dist: codecov; extra == 'test'
Requires-Dist: pytest-env; extra == 'test'
Requires-Dist: pytest-xdist; extra == 'test'

Volumetric functional parcellation of fMRI data that uses bootstrap aggregation to improve reproducibility, reliability, and stability of clusters


