Package: cellOrigins 0.1.3

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.

Authors:David Molnar

cellOrigins_0.1.3.tar.gz
cellOrigins_0.1.3.zip(r-4.7-any)cellOrigins_0.1.3.zip(r-4.6-any)cellOrigins_0.1.3.zip(r-4.5-any)
cellOrigins_0.1.3.tgz(r-4.6-any)cellOrigins_0.1.3.tgz(r-4.5-any)
cellOrigins_0.1.3.tar.gz(r-4.7-any)cellOrigins_0.1.3.tar.gz(r-4.6-any)
cellOrigins_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
cellOrigins/json (API)

# Install 'cellOrigins' in R:
install.packages('cellOrigins', repos = c('https://davidhmolnar.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 257 downloads 11 exports 5 dependencies

Last updated from:13b80ca5a5. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK109
source / vignettesOK156
linux-release-x86_64OK108
macos-release-arm64OK128
macos-oldrel-arm64OK178
windows-develOK71
windows-releaseOK57
windows-oldrelOK76
wasm-releaseOK105

Exports:diagnosticPlotsdiagnosticPlots.listdiagnosticPlots.matrixdiscovery_probabilitydiscovery.identicdiscovery.lineardiscovery.logiterating_seqVsInsituprior.all_equalprior.temporal_proximity_is_goodseqVsInsitu

Dependencies:arrangementsgmpiteratorsiterpcR6