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WormTensor (version 0.1.2)

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

Description

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' .

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Install

install.packages('WormTensor')

Monthly Downloads

172

Version

0.1.2

License

MIT + file LICENSE

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Maintainer

Kentaro Yamamoto

Last Published

July 21st, 2025

Functions in WormTensor (0.1.2)

worm_clustering,WormTensor-method

Generates clustering result A clustering result is generated from a membership tensor.
AllGenerics_component

Components for WormTensor object
WormTensor-class

S4 class used by as_worm_tensor.R, worm_membership.R, worm_clustering.R, worm_evaluate.R, worm_visualize.R
as_worm_tensor

Generates WormTensor object A WormTensor object is generated from distance matrices.
worm_visualize,WormTensor-method

Plots evaluation result A visualization result is generated from a WormTensor object.
worm_evaluate,WormTensor-method

Evaluates clustering result An evaluation result is generated from a WormTensor object.
worm_membership,WormTensor-method

Generates membership tensor A membership tensor is generated from distance matrices.
worm_distance

Generates distance matrices Distance matrices are generated between the cells of multiple animals (Caenorhabditis elegans) from time-series matrices.
worm_download

Downloads distance matrices 28 animals' data including 24 normal and 4 noisy are retrieved from figshare.