Clustering multi-subject resting state functional Magnetic Resonance Imaging data. This methods enables the clustering of subjects based on multi-subject resting state functional Magnetic Resonance Imaging data. Objects are clustered based on similarities and differences in cluster-specific estimated components obtained by Independent Component Analysis.
| Version: | 0.1.0 |
| Depends: | ica, NMFN, R (≥ 2.10) |
| Published: | 2021-07-01 |
| Author: | Jeffrey Durieux [aut, cre], Tom Wilderjans [aut] |
| Maintainer: | Jeffrey Durieux <durieux.jeffrey at gmail.com> |
| License: | GPL (≥ 3) |
| URL: | https://hdl.handle.net/1887/35077, https://github.com/jeffreydurieux/CICA |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | CICA results |
| Reference manual: | CICA.pdf |
| Package source: | CICA_0.1.0.tar.gz |
| Windows binaries: | r-devel: CICA_0.1.0.zip, r-release: CICA_0.1.0.zip, r-oldrel: CICA_0.1.0.zip |
| macOS binaries: | r-release (arm64): CICA_0.1.0.tgz, r-oldrel (arm64): CICA_0.1.0.tgz, r-release (x86_64): CICA_0.1.0.tgz, r-oldrel (x86_64): CICA_0.1.0.tgz |
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