https://github.com/hbclab/atlascorr
basic correlations of fMRI data using an atlas
Science Score: 8.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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✓Institutional organization owner
Organization hbclab has institutional domain (psychology.uiowa.edu) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (3.4%) to scientific vocabulary
Last synced: 8 months ago
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Repository
basic correlations of fMRI data using an atlas
Basic Info
- Host: GitHub
- Owner: HBClab
- License: other
- Language: Python
- Default Branch: master
- Homepage: https://hbclab.github.io/atlascorr/
- Size: 5.93 MB
Statistics
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 2
- Releases: 0
Created over 7 years ago
· Last pushed over 7 years ago
Metadata Files
Readme
Contributing
License
README.rst
===============================
atlascorr
===============================
.. image:: https://img.shields.io/travis/jdkent/atlascorr.svg
:target: https://travis-ci.org/jdkent/atlascorr
.. image:: https://img.shields.io/pypi/v/atlascorr.svg
:target: https://pypi.python.org/pypi/atlascorr
Generates atlas-based timeseries correlations from fMRI.
* Free software: 3-clause BSD license
* Documentation: https://hbclab.github.io/atlascorr/
Features
--------
* TODO
Owner
- Name: Health, Brain, & Cognition Lab
- Login: HBClab
- Kind: organization
- Website: https://psychology.uiowa.edu/health-brain-cognition-lab
- Repositories: 3
- Profile: https://github.com/HBClab
GitHub Events
Total
Last Year
Dependencies
requirements-dev.txt
pypi
- codecov * development
- coverage * development
- flake8 * development
- ipython * development
- matplotlib * development
- numpydoc * development
- pytest * development
- sphinx * development
- sphinx-argparse * development
- sphinx-copybutton * development
- sphinx_rtd_theme * development
requirements.txt
pypi
- duecredit *
- matplotlib ==2.2.2
- networkx ==2.1
- nibabel ==2.2.1
- nilearn ==0.4.1
- nipype ==1.1.5
- numpy ==1.14.3
- pandas ==0.23.0
- pybids ==0.6.4
- scikit-learn ==0.19.1
- scipy ==1.1.0