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cellOrigins: Finds RNASeq Source Tissues Using In Situ Hybridisation Data

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

Documentation:

Reference manual: cellOrigins.pdf

Downloads:

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

Linking:

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.
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