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