Package: WormTensor 0.1.1

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_0.1.1.tar.gz
WormTensor_0.1.1.zip(r-4.5)WormTensor_0.1.1.zip(r-4.4)WormTensor_0.1.1.zip(r-4.3)
WormTensor_0.1.1.tgz(r-4.4-any)WormTensor_0.1.1.tgz(r-4.3-any)
WormTensor_0.1.1.tar.gz(r-4.5-noble)WormTensor_0.1.1.tar.gz(r-4.4-noble)
WormTensor_0.1.1.tgz(r-4.4-emscripten)WormTensor_0.1.1.tgz(r-4.3-emscripten)
WormTensor.pdf |WormTensor.html✨
WormTensor/json (API)
NEWS

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

Peer review:

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

On CRAN:

4.30 score 3 scripts 143 downloads 7 exports 149 dependencies

Last updated 4 months agofrom:9905417bc6. Checks:OK: 6 ERROR: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 28 2024
R-4.5-winERROROct 28 2024
R-4.5-linuxOKOct 28 2024
R-4.4-winOKOct 28 2024
R-4.4-macOKOct 28 2024
R-4.3-winOKOct 28 2024
R-4.3-macOKOct 28 2024

Exports:as_worm_tensorworm_clusteringworm_distanceworm_downloadworm_evaluateworm_membershipworm_visualize

Dependencies:abindade4aricodebackportsbase64encBHbootbroombslibcachemcarcarDataclasscliclueclusterclusterSimclValidcodetoolscolorspacecommonmarkcorrplotcowplotcpp11crayoncrosstalkdendextendDerivdigestdoBydplyrdqrngDTdtwdtwcluste1071ellipseemmeansestimabilityevaluatefactoextraFactoMineRfansifarverfastmapflashClustflexclustFNNfontawesomeforeachFormulafsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehighrhtmltoolshtmlwidgetshttpuvirlbaisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmodeltoolsmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpixmappkgconfigplyrpolynompromisesproxypurrrquantregR6rappdirsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppParallelRcppProgressRcppThreadreshape2rlangrmarkdownRSpectrarstatixrTensorRtsnesassscalesscatterplot3dshinyshinyjssitmosourcetoolsspSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexusedistutf8uwotvctrsviridisviridisLitewithrxfunxtableyaml

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 Oct 28 2024.

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