cellGeometry: Geometric Single Cell Deconvolution

Deconvolution of bulk RNA-Sequencing data into proportions of cells based on a reference single-cell RNA-Sequencing dataset using high-dimensional geometric methodology.

Version:	0.5.4
Depends:	R (≥ 4.1.0)
Imports:	circlize, ComplexHeatmap, DelayedArray, dplyr, ensembldb, ggplot2, ggrepel, grid, gtools, matrixStats, mcprogress, parallel, pbmcapply, rlang, scales
Suggests:	future.apply, ggsci, knitr, plotly, Rfast2, rmarkdown, seriation
Published:	2025-09-15
Author:	Myles Lewis [aut, cre], Rachel Lau [ctb]
Maintainer:	Myles Lewis <myles.lewis at qmul.ac.uk>
License:	GPL (≥ 3)
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	cellGeometry results

Documentation:

Reference manual:	cellGeometry.html , cellGeometry.pdf
Vignettes:	Deconvolution with the brain atlas (source, R code) cellGeometry quickstart (source, R code)

Downloads:

Package source:	cellGeometry_0.5.4.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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