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CIARA: Cluster Independent Algorithm for Rare Cell Types Identification

Identification of markers of rare cell types by looking at genes whose expression is confined in small regions of the expression space <https://github.com/ScialdoneLab>.

Version: 0.1.0
Depends: R (≥ 4.0)
Imports: Biobase, ggplot2, ggraph, magrittr
Suggests: circlize, clustree, ComplexHeatmap, plotly, Seurat (≥ 4.0), testthat, knitr, rmarkdown
Published: 2022-02-22
Author: Gabriele Lubatti
Maintainer: Gabriele Lubatti <gabriele.lubatti at helmholtz-muenchen.de>
License: Artistic-2.0
NeedsCompilation: no
Materials: README
CRAN checks: CIARA results

Documentation:

Reference manual: CIARA.pdf
Vignettes: CIARA

Downloads:

Package source: CIARA_0.1.0.tar.gz
Windows binaries: r-devel: CIARA_0.1.0.zip, r-release: CIARA_0.1.0.zip, r-oldrel: CIARA_0.1.0.zip
macOS binaries: r-release (arm64): CIARA_0.1.0.tgz, r-oldrel (arm64): CIARA_0.1.0.tgz, r-release (x86_64): CIARA_0.1.0.tgz, r-oldrel (x86_64): CIARA_0.1.0.tgz

Reverse dependencies:

Reverse suggests: SCOPRO

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CIARA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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