The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Provides an imputation pipeline for single-cell RNA sequencing data. The 'scISR' method uses a hypothesis-testing technique to identify zero-valued entries that are most likely affected by dropout events and estimates the dropout values using a subspace regression model (Tran et.al. (2022) <doi:10.1038/s41598-022-06500-4>).
| Version: | 0.1.1 |
| Depends: | R (≥ 3.4) |
| Imports: | cluster, entropy, stats, utils, parallel, irlba, PINSPlus, matrixStats, markdown |
| Suggests: | testthat, knitr, mclust |
| Published: | 2022-06-30 |
| Author: | Duc Tran [aut, cre], Bang Tran [aut], Hung Nguyen [aut], Tin Nguyen [fnd] |
| Maintainer: | Duc Tran <duct at nevada.unr.edu> |
| BugReports: | https://github.com/duct317/scISR/issues |
| License: | LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL] |
| URL: | https://github.com/duct317/scISR |
| NeedsCompilation: | no |
| Citation: | scISR citation info |
| Materials: | README |
| CRAN checks: | scISR results |
| Reference manual: | scISR.pdf |
| Vignettes: |
scISR package manual |
| Package source: | scISR_0.1.1.tar.gz |
| Windows binaries: | r-devel: scISR_0.1.1.zip, r-release: scISR_0.1.1.zip, r-oldrel: scISR_0.1.1.zip |
| macOS binaries: | r-release (arm64): scISR_0.1.1.tgz, r-oldrel (arm64): scISR_0.1.1.tgz, r-release (x86_64): scISR_0.1.1.tgz, r-oldrel (x86_64): scISR_0.1.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=scISR to link to this page.
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.
Health stats visible at Monitor.