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

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