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.
Finds the most likely originating tissue(s) and developmental stage(s) of tissue-specific RNA sequencing data. The package identifies both pure transcriptomes and mixtures of transcriptomes. The most likely identity is found through comparisons of the sequencing data with high-throughput in situ hybridisation patterns. Typical uses are the identification of cancer cell origins, validation of cell culture strain identities, validation of single-cell transcriptomes, and validation of identity and purity of flow-sorting and dissection sequencing products.
| Version: | 0.1.3 |
| Imports: | iterpc |
| Published: | 2020-06-05 |
| DOI: | 10.32614/CRAN.package.cellOrigins |
| Author: | David Molnar |
| Maintainer: | David Molnar <dmolnar100 at icloud.com> |
| License: | CC BY-NC-SA 4.0 |
| NeedsCompilation: | no |
| CRAN checks: | cellOrigins results |
| Reference manual: | cellOrigins.pdf |
| Package source: | cellOrigins_0.1.3.tar.gz |
| Windows binaries: | r-devel: cellOrigins_0.1.3.zip, r-release: cellOrigins_0.1.3.zip, r-oldrel: cellOrigins_0.1.3.zip |
| macOS binaries: | r-release (arm64): cellOrigins_0.1.3.tgz, r-oldrel (arm64): cellOrigins_0.1.3.tgz, r-release (x86_64): cellOrigins_0.1.3.tgz, r-oldrel (x86_64): cellOrigins_0.1.3.tgz |
Please use the canonical form https://CRAN.R-project.org/package=cellOrigins 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.