PAC: Partition-Assisted Clustering and Multiple Alignments ofNetworks
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 |
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