Metadata-Version: 2.1
Name: brainspace
Version: 0.1.1
Summary: Cortical gradients and beyond
Home-page: https://github.com/MICA-MNI/BrainSpace
Author: BrainSpace developers
Author-email: oualid.benkarim@mcgill.ca
License: UNKNOWN
Download-URL: https://github.com/MICA-MNI/BrainSpace/archive/0.1.1.tar.gz
Project-URL: Documentation, https://brainspace.readthedocs.io
Project-URL: Bug Reports, https://github.com/MICA-MNI/BrainSpace/issues
Project-URL: Source, https://github.com/MICA-MNI/BrainSpace
Description: ====================
        BrainSpace
        ====================
        
        
        .. image:: https://img.shields.io/travis/MICA-MNI/BrainSpace/master?style=flat&logo=travis
           :target: https://travis-ci.org/MICA-MNI/BrainSpace
        
        .. image:: https://img.shields.io/appveyor/build/OualidBenkarim/brainspace/master?logo=appveyor
           :alt: AppVeyor branch
        
        .. image:: https://img.shields.io/pypi/v/brainspace
           :target:  https://pypi.python.org/pypi/brainspace
        
        .. image:: https://img.shields.io/pypi/l/brainspace?label=License
           :target: https://opensource.org/licenses/BSD-3-Clause
        
        .. image:: https://img.shields.io/pypi/pyversions/brainspace
           :alt: PyPI - Python Version
        
        
        BrainSpace is a lightweight cross-platform toolbox primarily intended 
        for macroscale gradient mapping and analysis of 
        neuroimaging and connectome level data. The current version 
        of BrainSpace is available in Python and MATLAB, programming 
        languages widely used by the neuroimaging and network neuroscience 
        communities. The toolbox also contains several maps that allow for 
        exploratory analysis of gradient correspondence with other 
        brain-derived features, together with tools to generate spatial null models.
        
        For installation instructions, examples and documentation of BrainSpace see
        our `documentation <https://brainspace.readthedocs.io>`_.
        
        Happy gradient analysis! 
        
        License
        -----------
        
        The BrainSpace source code is available under the BSD (3-Clause) license.
        
        Support
        -----------
        
        If you have problems installing the software or questions about usage 
        and documentation, or something else related to BrainSpace, 
        you can post to the Issues section of our `repository <https://github.com/MICA-MNI/BrainSpace/issues>`_.
        
        Paper
        -----------
        
        If you consider using BrainSpace, please cite our current preprint: 
        Vos de Wael R, Benkarim O, Paquola C, Lariviere S, Royer S, Tavakol S, Xu T, Hong S, Langs G, Valk SL, 
        Misic B, Milham MP, Margulies DS, Smallwood J, Bernhardt BC (2019) BrainSpace:  a toolbox for the analysis of macroscalegradients in neuroimaging and connectomics datasets. Biorxiv. 
        
        Core development team
        -----------------------
        
        * Reinder Vos de Wael, MICA Lab - Montreal Neurological Institute
        * Oualid Benkarim, MICA Lab - Montreal Neurological Institute
        * Boris Bernhardt, MICA Lab - Montreal Neurological Institute
        
        
Keywords: brain cortex gradient manifold
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.5
Description-Content-Type: text/x-rst
Provides-Extra: test
