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Single linkage clustering and connected component analyses are often performed on biological images. 'Bioi' provides a set of functions for performing these tasks. This functionality is implemented in several key functions that can extend to from 1 to many dimensions. The single linkage clustering method implemented here can be used on n-dimensional data sets, while connected component analyses are limited to 3 or fewer dimensions.
Version: | 0.2.10 |
Depends: | R (≥ 3.3.0) |
Imports: | Rcpp (≥ 0.12.13), assertthat (≥ 0.2.0), dplyr (≥ 0.7.4), igraph |
LinkingTo: | Rcpp |
Suggests: | knitr, rmarkdown, ggplot2, testthat (≥ 2.0.0) |
Published: | 2019-12-08 |
DOI: | 10.32614/CRAN.package.Bioi |
Author: | Zachary Colburn |
Maintainer: | Zachary Colburn <zcolburn at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | Bioi results |
Reference manual: | Bioi.pdf |
Vignettes: |
Bioi |
Package source: | Bioi_0.2.10.tar.gz |
Windows binaries: | r-devel: Bioi_0.2.10.zip, r-release: Bioi_0.2.10.zip, r-oldrel: Bioi_0.2.10.zip |
macOS binaries: | r-release (arm64): Bioi_0.2.10.tgz, r-oldrel (arm64): Bioi_0.2.10.tgz, r-release (x86_64): Bioi_0.2.10.tgz, r-oldrel (x86_64): Bioi_0.2.10.tgz |
Old sources: | Bioi archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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