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: 1.1.4
Imports: Rcpp (≥ 0.12.2), igraph, parmigene, infotheo, dplyr, Rtsne, ggplot2, ggrepel
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
Published: 2021-02-18
Author: Ye Henry Li, Dangna Li
Maintainer: Ye Henry Li <hlowl2 at gmail.com>
License: GPL-3
URL: https://doi.org/10.1371/journal.pcbi.1005875
NeedsCompilation: yes
SystemRequirements: C++11
CRAN checks: PAC results

Documentation:

Reference manual: PAC.pdf
Vignettes: Using the PAC package

Downloads:

Package source: PAC_1.1.4.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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