Development of an interactive brain connectivity data mining tool
Project description
PROJECT : Development of an interactive brain connectivity data mining tool
This project has been realized during a 4th year internship in order to develop a python software helping the brain connectivity research.
To install and execute this software, you can use PyPI or Github method. The Python version expected are 3.10/3.11/3.12. (Either way, verify that python is already being present in the PATH.)
INSTALL AND EXECUTION WITH PyPI :
- Run
pip install iacob - Run
iacob-app
INSTALL AND EXECUTION WITH GitHub Download :
- Run
git clone https://scm.univ-tours.fr/projetspublics/lifat/iacob.git IACOB_APP && cd IACOB_APP - Run
pip install -r requirements.txt - Run
cd iacob - Run (Windows)
python -m src.IACOB - Run (Unix/MacOS)
python3 -m src.IACOB
Authors :
-
Developers :
- Thibaud SCRIBE (thibaud.scribe@etu.univ-tours.fr)
- Enzo CREUZET (enzo.creuzet@etu.univ-tours.fr)
-
Supervisors :
- Barthélémy SERRES (barthelemy.serres@univ-tours.fr)
- Frederic ANDERSSON (frederic.andersson@univ-tours.fr)
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