https://github.com/csinva/abide-multitask-learning
Multi-task learning of functional connectivity on the ABIDE dataset.
https://github.com/csinva/abide-multitask-learning
abide connectome graphical-models
Last synced: about 2 months ago
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Multi-task learning of functional connectivity on the ABIDE dataset.
- Host: GitHub
- URL: https://github.com/csinva/abide-multitask-learning
- Owner: csinva
- Created: 2016-09-03T23:45:41.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-08-26T03:57:40.000Z (over 7 years ago)
- Last Synced: 2025-02-08T13:42:54.470Z (3 months ago)
- Topics: abide, connectome, graphical-models
- Language: Jupyter Notebook
- Homepage:
- Size: 24.3 MB
- Stars: 3
- Watchers: 6
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Multi-task learning of functional connectivity on the ABIDE dataset
### instructions for running
- set dir to correct dir
- put data_subjects.RData in the data folder
- set all relevant booleans to True
### purposes of the project
- to analyze brain connectivity using GGM models
- to reduce the dimension and consequently the computation complexity of brain networks
### includes code from
- SIMULE: https://github.com/UVA-MachineLearningBioinformatics/Papers-sGGM
- Direct Learning of Sparse Changes: http://www.ism.ac.jp/~liu/SCD.html