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: | 1.1.2 |
Imports: | Rcpp (≥ 0.12.2), igraph, parmigene, infotheo, dplyr, Rtsne, ggplot2, ggrepel |
LinkingTo: | Rcpp |
Suggests: | knitr |
Published: | 2020-03-20 |
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 |
Reference manual: | PAC.pdf |
Vignettes: |
Using the PAC package |
Package source: | PAC_1.1.2.tar.gz |
Windows binaries: | r-devel: PAC_1.1.2.zip, r-release: PAC_1.1.2.zip, r-oldrel: PAC_1.1.2.zip |
macOS binaries: | r-release: PAC_1.1.2.tgz, r-oldrel: PAC_1.1.2.tgz |
Old sources: | PAC archive |
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