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
Author: David Molnar
Maintainer: David Molnar <dmolnar100 at icloud.com>
License: CC BY-NC-SA 4.0
NeedsCompilation: no
CRAN checks: cellOrigins results

Downloads:

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-release (x86_64): cellOrigins_0.1.3.tgz, r-oldrel: cellOrigins_0.1.3.tgz

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