PAC: Partition-Assisted Clustering and Multiple Alignments of Networks

Implements partition-assisted clustering and multiple alignments of networks. It 1) utilizes partition-assisted clustering to find robust and accurate clusters and 2) discovers coherent relationships of clusters across multiple samples. It is particularly useful for analyzing single-cell data set. Please see Li et al. (2017) <doi:10.1371/journal.pcbi.1005875> for detail method description.

Version:	1.1.6
Imports:	Rcpp (≥ 0.12.2), igraph, parmigene, infotheo, dplyr, Rtsne, ggplot2, ggrepel
LinkingTo:	Rcpp
Suggests:	knitr, rmarkdown
Published:	2025-12-15
DOI:	10.32614/CRAN.package.PAC
Author:	Ye Henry Li [aut, cre], Dangna Li [aut]
Maintainer:	Ye Henry Li <hlowl2 at gmail.com>
License:	GPL-3
URL:	https://doi.org/10.1371/journal.pcbi.1005875
NeedsCompilation:	yes
CRAN checks:	PAC results

Documentation:

Reference manual:	PAC.html , PAC.pdf
Vignettes:	Using the PAC package (source, R code)

Downloads:

Package source:	PAC_1.1.6.tar.gz
Windows binaries:	r-devel: PAC_1.1.4.zip, r-release: PAC_1.1.4.zip, r-oldrel: PAC_1.1.4.zip
macOS binaries:	r-release (arm64): PAC_1.1.4.tgz, r-oldrel (arm64): PAC_1.1.4.tgz, r-release (x86_64): PAC_1.1.4.tgz, r-oldrel (x86_64): PAC_1.1.4.tgz
Old sources:	PAC archive

Linking:

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