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MAGIC: Multi-scAle heteroGeneity analysIs and Clustering
Machine Learning in NeuroImaging (MLNI) is a python package that performs various tasks using neuroimaging data.
SOPNMF is the fast python implementation of stochastic orthogonally projective non-negative matrix factorization
CHIMERA: clustering of heterogeneous disease effects via distribution matching of imaging patterns
BRIDGEPORT: Bridge knowledge across brain imaging, genomics, and clinical phenotypes