Provides single-cell analysis primitives for sparse count matrices, including library-size normalization, log-normalization, highly variable feature selection, principal component analysis, and nearest-neighbour construction. Integrates the 'cudaverse' numerical and sparse layers while preserving matrix identifiers and recording the computation backend for each stage. Optional adapters preserve native 'SingleCellExperiment' and 'SeuratObject' version 5 object structures.
| Version: | 0.4.0 |
| Imports: | cudaverse (≥ 0.4.1), Matrix, methods |
| Suggests: | DelayedArray, knitr, rmarkdown, S4Vectors, SeuratObject (≥ 5.0.0), SingleCellExperiment, SummarizedExperiment, testthat (≥ 3.0.0) |
| Published: | 2026-10-27 |
| DOI: | 10.32614/CRAN.package.cudacellr (may not be active yet) |
| Author: | Yaoxiang Li [aut, cre] |
| Maintainer: | Yaoxiang Li <liyaoxiang at outlook.com> |
| BugReports: | https://github.com/cudaverse/cudacellr/issues |
| License: | MIT + file LICENSE |
| URL: | https://cudaverse.github.io/cudacellr/, https://github.com/cudaverse/cudacellr |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | cudacellr results |
| Reference manual: | cudacellr.html , cudacellr.pdf |
| Vignettes: |
Backend provenance and CUDA diagnostics (source, R code) A native SeuratObject v5 workflow (source, R code) A native SingleCellExperiment workflow (source, R code) |
| Package source: | cudacellr_0.4.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: cudacellr_0.4.0.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): cudacellr_0.4.0.tgz, r-oldrel (arm64): cudacellr_0.4.0.tgz, r-release (x86_64): cudacellr_0.4.0.tgz, r-oldrel (x86_64): cudacellr_0.4.0.tgz |
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