Implementation of region-based FMRI data analysis through hierarchical modeling using Python #82
Description
Title
Implementation of region-based FMRI data analysis through hierarchical modeling using Python
Short description and the goals for the OHBM BrainHack
Hierarchical modeling is a powerful analytical framework that allows efficient information flow across multiple levels. Compared to the traditional mass univariate analysis, the hierarchical approach has the advantages of spatial specificity, high statistical efficiency, no discrimination against small regions, focus on effect estimation, full result reporting, etc. The modeling capability has already been implemented into the program RBA using R packages (e.g., brms) in AFNI. It would be a great addition to the neuroimaging community if the modeling functionality is also implemented using Python.
The project is looking for volunteers who are skilled in Python and familiar with some extent of hierarchical modeling.
Useful links:
https://github.com/adamhaber/pybrms
Link to the Project
https://github.com/afni/afni/blob/master/src/R_scripts/RBA.R
Image for the OHBM brainhack website
No response
Project lead
Gang Chen (github: afni-gangc; discord: Gang Chen#1967)
Main Hub
Glasgow
Other Hub covered by the leaders
- Glasgow
- Asia / Pacific
- Europe / Middle East / Africa
- Americas
Skills
Python
R
Recommended tutorials for new contributors
- Set up a brainhack friendly computing environment
- A introduction to Bash
- Python: Writing a script
- Python: Data analysis with Python
- Python: Visualisation
- Machine learning basics
- BIDS
- Machine learning for neuroimaging
- VCS: Using Git and Github
- VCS: Data management with Datalad
- Virtualization
- High Performance Computing: Oracle cloud resource
Good first issues
No response
Twitter summary
No response
Short name for the Discord chat channel (~15 chars)
RBA-brms
Please read and follow the OHBM Code of Conduct
- I agree to follow the OHBM Code of Conduct during the hackathon