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-release (x86_64): CIARA_0.1.0.tgz, r-oldrel: CIARA_0.1.0.tgz

Linking:

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