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): cellGeometry_0.5.4.tgz, r-oldrel (arm64): cellGeometry_0.5.4.tgz, r-release (x86_64): cellGeometry_0.5.4.tgz, r-oldrel (x86_64): cellGeometry_0.5.4.tgz |
Linking:
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