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Multi-task learning of functional connectivity on the ABIDE dataset.

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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