Package: WormTensor 0.1.2

Kentaro Yamamoto

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>.

Authors:Kentaro Yamamoto [aut, cre], Koki Tsuyuzaki [aut], Itoshi Nikaido [aut]

WormTensor_0.1.2.tar.gz
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WormTensor_0.1.2.tgz(r-4.6-any)WormTensor_0.1.2.tgz(r-4.5-any)
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manual.pdf |manual.html✨
card.svg |card.png
WormTensor/json (API)
NEWS

# Install 'WormTensor' in R:
install.packages('WormTensor', repos = c('https://rikenbit.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rikenbit/wormtensor/issues

On CRAN:

Conda:

3.70 score 1 stars 3 scripts 205 downloads 7 exports 157 dependencies

Last updated from:6cf63a315d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK270
source / vignettesOK337
linux-release-x86_64OK300
macos-release-arm64OK216
macos-oldrel-arm64OK179
windows-develOK224
windows-releaseOK222
windows-oldrelOK274
wasm-releaseOK166

Exports:as_worm_tensorworm_clusteringworm_distanceworm_downloadworm_evaluateworm_membershipworm_visualize

Dependencies:abindade4aricodebackportsbase64encBHbootbroombslibcachemcarcarDataclasscliclueclusterclusterSimclValidcodetoolscolorspacecommonmarkcorrplotcowplotcpp11crosstalkdendextendDerivdigestdoBydplyrdqrngDTdtwdtwcluste1071ellipseemmeansestimabilityevaluatefactoextraFactoMineRfarverfastmapflashClustflexclustFNNfontawesomeforeachforecastFormulafracdifffsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehighrhtmltoolshtmlwidgetshttpuvirlbaisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmodeltoolsmultcompViewmvtnormnlmenloptrnnetnumDerivotelpbkrtestpillarpixmappkgconfigplyrpolynompromisesproxypurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppParallelRcppProgressRcppThreadRdpackreformulasreshape2rlangrmarkdownRSpectrarstatixrTensorRtsneS7sassscalesscatterplot3dshinyshinyjssitmosourcetoolsspSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDatetinytexurcausedistutf8uwotvctrsviridisviridisLitewithrxfunxtableyamlzoo

Clustering and visualization of time-series whole-brain activity data of C. elegans using WormTensor

Kentaro Yamamoto, Koki Tsuyuzaki, Itoshi Nikaido

Rendered fromWormTensor.Rmdusingknitr::rmarkdownon May 07 2026.

Last update: 2022-08-25
Started: 2022-08-03