Master thesis (speciale): Modeling Individual Differences in Functional Brain Connectivity using Stochastic Block Models

STRUCTURE (Filename and description)

• main.py: Main script for running model
• model.py: Multinomial Stochastic Block Model (mSBM) class
• generate_graphs.py: Generate adjacency matrices (graphs) from fMRI and dMRI images
• helper_functions.py: Helper functions
• final_results.py: Produce final classification results for report
• run_fmri_batchjobs.sh: Submit multiple batchjobs (fMRI data experiments)
• run_syn_batchjobs.sh: Submit multiple batchjobs (synthetic data experiments)
• submit_big.sh: Submit single batchjobs to BIG cluster
• submit_hpc.sh: Submit single batchjobs to HPC cluster
• visualize.ipynb: Visualize data and different model outputs
• clf_featureprep.ipynb: Preparing classification features
• misc_code.ipynb: Miscallaneous code for experiment overview, cleaning up error files, etc.
• speciale.yml: Conda environment