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

Linking:

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