Mixture fMRI Clustering Analysis

Utilizing model-based clustering (unsupervised) for functional magnetic resonance imaging (fMRI) data. The developed methods (Chen and Maitra (2018, manuscript)) include 2D and 3D clustering analyses (for p-values with voxel locations) and segmentation analyses (for p-values alone) for fMRI data where p-values indicate significant level of activation responding to stimulate of interesting. The analyses are mainly identifying active voxel/signal associated with normal brain behaviors. Analysis pipelines (R scripts) utilizing this package (see examples in 'inst/workflow/') is also implemented with high performance techniques.


Reference manual

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0.1-0 by Wei-Chen Chen, 10 months ago


Report a bug at https://github.com/snoweye/MixfMRI/issues

Browse source code at https://github.com/cran/MixfMRI

Authors: Wei-Chen Chen [aut, cre] , Ranjan Maitra [aut] , Dan Nettleton [ctb]

Documentation:   PDF Manual  

Mozilla Public License 2.0 license

Imports MASS, Matrix, RColorBrewer, fftw, MixSim, EMCluster

Enhances pbdMPI, AnalyzeFMRI, oro.nifti

See at CRAN