A Clustering Method for Time-Series Whole-Brain Activity Data of 'C. elegans'
Overview
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.
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Documentation
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- 9
- Examples that run
- 14%1 run in a plain check · 6 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 75%
- Documented parameters
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- Return-value docs
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- Help pages citing references
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Package metadata
- First published
- 2022-09-08
- Total releases
- 3 / 4 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 3.4 MB
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