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cellOrigins  

Finds RNASeq Source Tissues Using In Situ Hybridisation Data
View on CRAN: Click here


Download and install cellOrigins package within the R console
Install from CRAN:
install.packages("cellOrigins")

Install from Github:
library("remotes")
install_github("cran/cellOrigins")

Install by package version:
library("remotes")
install_version("cellOrigins", "0.1.3")



Attach the package and use:
library("cellOrigins")
Maintained by
David Molnar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-05
Latest Update: 2020-06-05
Description:
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.
How to cite:
David Molnar (2020). cellOrigins: Finds RNASeq Source Tissues Using In Situ Hybridisation Data. R package version 0.1.3, https://cran.r-project.org/web/packages/cellOrigins. Accessed 04 Jun. 2026.
Previous versions and publish date:
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