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: |
0.1.1 |
| 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: |
2024-07-23 |
| DOI: |
10.32614/CRAN.package.WormTensor |
| 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:
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