A single-cell Clustering method using 'Autoencoder' and Network fusion ('scCAN') Bang Tran (2022) <doi:10.1038/s41598-022-14218-6> for segregating the cells from the high-dimensional 'scRNA-Seq' data. The software automatically determines the optimal number of clusters and then partitions the cells in a way such that the results are robust to noise and dropouts. 'scCAN' is fast and it supports Windows, Linux, and Mac OS.
| Version: | 1.0.5 |
| Depends: | R (≥ 4.2.0), scDHA, FNN, purrr |
| Imports: | stats |
| Suggests: | knitr, rmarkdown |
| Published: | 2024-06-13 |
| DOI: | 10.32614/CRAN.package.scCAN |
| Author: | Bang Tran [aut, cre], Duc Tran [aut], Hung Nguyen [aut], Tin Nguyen [fnd] |
| Maintainer: | Bang Tran <s.tran at csus.edu> |
| License: | LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL] |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | scCAN results |
| Reference manual: | scCAN.pdf |
| Vignettes: |
scCAN |
| Package source: | scCAN_1.0.5.tar.gz |
| Windows binaries: | r-devel: scCAN_1.0.5.zip, r-release: scCAN_1.0.5.zip, r-oldrel: scCAN_1.0.5.zip |
| macOS binaries: | r-release (arm64): scCAN_1.0.5.tgz, r-oldrel (arm64): scCAN_1.0.5.tgz, r-release (x86_64): scCAN_1.0.5.tgz, r-oldrel (x86_64): scCAN_1.0.5.tgz |
| Old sources: | scCAN archive |
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