Package: clustermole 1.2.0

clustermole: Cell Type Marker Database for Single-Cell RNA-Seq Data

Provides a meta-database of thousands of human and mouse cell identity markers curated from multiple sources, along with methods for cell type prediction based on marker gene overlaps or gene set enrichment.

Authors:Igor Dolgalev [aut, cre]

clustermole_1.2.0.tar.gz
clustermole_1.2.0.zip(r-4.7-any)clustermole_1.2.0.zip(r-4.6-any)clustermole_1.2.0.zip(r-4.5-any)
clustermole_1.2.0.tgz(r-4.6-any)clustermole_1.2.0.tgz(r-4.5-any)
clustermole_1.2.0.tar.gz(r-4.7-any)clustermole_1.2.0.tar.gz(r-4.6-any)
clustermole_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
clustermole/json (API)

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

Bug tracker:https://github.com/igordot/clustermole/issues

Pkgdown/docs site:https://igordot.github.io

On CRAN:

Conda:

cell-typecell-type-annotationcell-type-classificationcell-type-identificationcell-type-matchinggene-expression-signaturesscrna-seqsingle-cell

5.01 score 15 stars 45 scripts 745 downloads 4 exports 20 dependencies

Last updated from:2eeeea5d63 (on v1.2.0). Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK218
source / vignettesOK274
linux-releaseOK201
macos-releaseOK150
macos-oldrelOK160
windows-develOK189
windows-releaseOK183
windows-oldrelOK170
wasm-releaseOK166

Exports:clustermole_enrichmentclustermole_markersclustermole_overlapsread_gmt

Dependencies:clicpp11dplyrgenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr