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Bioi: Biological Image Analysis

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

Documentation:

Reference manual: Bioi.pdf
Vignettes: Bioi

Downloads:

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

Linking:

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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.