Creating a group-level modeling interface in AFNI using Python #86
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AFNI
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Datalad
Hackathon Project
Hacktrack: Good to go
machine_learning
Python
Title
Creating a group-level modeling interface in AFNI using Python
Short description and the goals for the OHBM BrainHack
There are quite a few powerful modeling tools in AFNI that perform group-level analysis. The programs range from simple to complex ones: GLM, ANCOVA with within-subject (or repeated-measures) factors, linear mixed-effects modeling, nonlinear modeling using smooth splines, intraclass correlation, Bayesian multi-level modeling, etc. These programs include 3dttest++, 3dMVM, 3dLMEr, 3dMSS, 3dISC, 3dICC, RBA, etc. Currently there is a Python program, gen_group_command.py, that provides a nice interface for the user to set up group-level analysis for GLM. Two potential projects are
create a unified user interface similar to gen_group_command.py that could generate most, if all, of the group-level programs; alternatively,
write a user interface for one or a few group-level programs.
Link to the Project
https://github.com/afni/afni/blob/master/src/python_scripts/scripts/gen_group_command.py
Image for the OHBM brainhack website
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Project lead
Gang Chen (github: afni-gangc; discord: Gang Chen#1967)
Main Hub
Glasgow
Other Hub covered by the leaders
Skills
Python
Shell scripting
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Good first issues
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Short name for the Discord chat channel (~15 chars)
gen-group
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