Metadata-Version: 2.1
Name: picachooser
Version: 1.2.2
Summary: Lightweight GUI for sorting MELODIC ICA components.
Home-page: https://github.com/bbfrederick/picachooser
Author: Blaise Frederick
Author-email: bbfrederick@mclean.harvard.edu
License: Apache Software License
Keywords: fMRI,MELODIC,ICA,AROMA,FIX
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Dist: numpy (>=1.16)
Requires-Dist: pyqtgraph
Requires-Dist: nibabel
Requires-Dist: scipy
Requires-Dist: pillow
Requires-Dist: pandas
Provides-Extra: doc
Requires-Dist: sphinx (>=1.5.3) ; extra == 'doc'
Requires-Dist: sphinx-rtd-theme ; extra == 'doc'
Requires-Dist: sphinx-argparse ; extra == 'doc'
Requires-Dist: sphinx-gallery ; extra == 'doc'
Requires-Dist: numpydoc ; extra == 'doc'
Requires-Dist: m2r ; extra == 'doc'

PICAchooser (the package)
=========================

A set of simple gui tools for scanning through MELODIC probabalistic ICA
runs and quickly making decisions about which components to retain, and
what relates to what. These tools each only do one thing, but they do them
quickly and easily using only keyboard input. Current programs are
PICAchooser, melodicomp, and grader.

.. figure:: https://github.com/bbfrederick/picachooser/blob/master/images/picachooser_screenshot2.png
   :alt: PICAchooser screenshot

   PICAchooser screenshot


Support
=======

This code base is being developed and supported by a grant from the US
NIH `1R01 NS097512 <http://grantome.com/grant/NIH/R01-NS097512-02>`__.

Additional packages used
========================

PICAchooser would not be possible without many additional open source
packages. These include:

pyqtgraph:
----------

1) Luke Campagnola. `PyQtGraph: Scientific Graphics and GUI Library for
   Python <http://www.pyqtgraph.org>`__

nibabel:
--------

1) `Nibabel: Python package to access a cacophony of neuro-imaging file
   formats <https://github.com/nipy/nibabel>`__ \|
   https://10.5281/zenodo.591597

numpy:
------

1) Stéfan van der Walt, S. Chris Colbert and Gaël Varoquaux. The NumPy
   Array: A Structure for Efficient Numerical Computation, Computing in
   Science & Engineering, 13, 22-30 (2011) \| https:10.1109/MCSE.2011.37

scipy:
------

1) Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland,
   Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson,
   Warren Weckesser, Jonathan Bright, Stéfan J. van der Walt, Matthew
   Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R.
   J. Nelson, Eric Jones, Robert Kern, Eric Larson, CJ Carey, İlhan
   Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef
   Perktold, Robert Cimrman, Ian Henriksen, E.A. Quintero, Charles R
   Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul
   van Mulbregt, and SciPy 1.0 Contributors. (2020) SciPy 1.0:
   Fundamental Algorithms for Scientific Computing in Python. Nature
   Methods, 17, 261–272 (2020) \|
   https://doi.org/10.1038/s41592-019-0686-2

pandas:
-------

1) McKinney, W., pandas: a foundational Python library for data analysis
   and statistics. Python for High Performance and Scientific Computing,

   2011. 14.


