Metadata-Version: 2.1
Name: fmridenoise
Version: 0.2.1
Summary: fMRIDenoise - automated denoising, denoising strategies comparison, and functional connectivity data quality control.
Home-page: https://github.com/nbraingroup/fmridenoise
Author: Karolina Finc, Mateusz Chojnowski, Kamil Bonna
Author-email: karolinafinc@gmail.com, mateus.chojnowski@gmail.com, kongokou@gmail.com
License: License :: OSI Approved :: Apache Software License
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/x-rst
Requires-Dist: nibabel
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: nilearn
Requires-Dist: pandas
Requires-Dist: jsonschema
Requires-Dist: traits
Requires-Dist: nipype
Requires-Dist: sklearn
Requires-Dist: pydot
Requires-Dist: pybids
Requires-Dist: psutil
Requires-Dist: jinja2
Requires-Dist: frozendict

fMRIDenoise - automated denoising and denoising strategies comparison for fMRI data
===================================================================================

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3383310.svg
   :target: https://doi.org/10.5281/zenodo.3383310

.. image:: https://travis-ci.org/compneuro-ncu/fmridenoise.svg?branch=master
   :target: https://travis-ci.org/github/compneuro-ncu/fmridenoise

.. image:: https://readthedocs.org/projects/fmridenoise/badge/?version=latest
   :target: https://fmridenoise.readthedocs.io/en/latest/?badge=latest
   :alt: Documentation Status

*fMRIDenoise* is tool for automatic denoising, denoising strategies comparisons,
and functional connectivity data quality control.
The goal of fMRIDenoise is to provide an objective way to select
best-performing denoising strategy given the data.
The tool is designed to work directly on `fMRIPrep <https://fmriprep.readthedocs.io>`_-preprocessed datasets and
data in `BIDS <https://bids.neuroimaging.io/>`_ standard.
We believe that the tool can make the selection of the denoising strategy more objective and also help researchers to obtain FC quality control metrics with almost no effort.

**The project is in beta stage and we are looking for feedback and collaborators.**

Problem
--------
.. image:: https://raw.githubusercontent.com/compneuro-ncu/fmridenoise/master/docs/img/fmridenoise_problem.png
   :align: center
   :alt: Alternative text


Solution
--------
.. image:: https://raw.githubusercontent.com/compneuro-ncu/fmridenoise/master/docs/img/fmridenoise_solution_small.png
   :align: center
   :alt: Alternative text

More information and documentation can be found at
https://fmridenoise.readthedocs.io/



