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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 |
| 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 |
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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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