MixfMRI (0.1-0)

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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.

Maintainer: Wei-Chen Chen
Author(s): Wei-Chen Chen [aut, cre], Ranjan Maitra [aut], Dan Nettleton [ctb]

License: Mozilla Public License 2.0

Uses: EMCluster, fftw, MASS, Matrix, MixSim, RColorBrewer
Enhances: AnalyzeFMRI, oro.nifti, pbdMPI

Released almost 2 years ago.



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