MixfMRI: 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.

Getting started

Package details

AuthorWei-Chen Chen [aut, cre], Ranjan Maitra [aut], Dan Nettleton [ctb]
MaintainerWei-Chen Chen <[email protected]>
LicenseMozilla Public License 2.0
URL https://github.com/snoweye/MixfMRI
Package repositoryView on CRAN
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MixfMRI documentation built on May 1, 2019, 10:14 p.m.