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cellOrigins
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]
[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 29 Oct. 2026.
Previous versions and publish date:
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Other R packages that cellOrigins depends,
imports, suggests or enhances
Complete documentation for cellOrigins
Functions, R codes and Examples using
the cellOrigins R package
Some associated functions: BDGP_insitu_dmel_embryo . cellOrigins-package . diagnosticPlots . discovery.log . discovery_probability . iterating_seqVsInsitu . prior.temporal_proximity_is_good . seqVsInsitu . vncMedianCoverage .
Some associated R codes: cellOracle-internal.R . diagnosticPlots.R . diagnosticPlots.list.R . diagnosticPlots.matrix.R . discovery.identic.R . discovery.linear.R . discovery.log.R . discovery_probability.R . iterating_seqVsInsitu.R . prior.all_equal.R . prior.temporal_proximity_is_good.R . seqVsInsitu.R . Full cellOrigins package functions and examples
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