WormTensor: A Clustering Method for Time-Series Whole-Brain Activity Data of 'C. elegans'

A toolkit to detect clusters from distance matrices. The distance matrices are assumed to be calculated between the cells of multiple animals ('Caenorhabditis elegans') from input time-series matrices. Some functions for generating distance matrices, performing clustering, evaluating the clustering, and visualizing the results of clustering and evaluation are available. We're also providing the download function to retrieve the calculated distance matrices from 'figshare' <https://figshare.com>.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: rTensor, usedist, dtwclust, clusterSim, clValid, aricode, cluster, ggplot2, Rtsne, uwot, factoextra, ggrepel, cowplot, methods
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2022-09-08
Author: Kentaro Yamamoto [aut, cre], Koki Tsuyuzaki [aut], Itoshi Nikaido [aut]
Maintainer: Kentaro Yamamoto <yamaken37.the.answer at gmail.com>
BugReports: https://github.com/rikenbit/WormTensor/issues
License: MIT + file LICENSE
URL: https://github.com/rikenbit/WormTensor
NeedsCompilation: no
Materials: NEWS
CRAN checks: WormTensor results

Documentation:

Reference manual: WormTensor.pdf
Vignettes: WormTensor

Downloads:

Package source: WormTensor_0.1.0.tar.gz
Windows binaries: r-devel: WormTensor_0.1.0.zip, r-release: WormTensor_0.1.0.zip, r-oldrel: WormTensor_0.1.0.zip
macOS binaries: r-release (arm64): WormTensor_0.1.0.tgz, r-oldrel (arm64): WormTensor_0.1.0.tgz, r-release (x86_64): WormTensor_0.1.0.tgz

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