Package: cudacellr 0.4.0.9000

Yaoxiang Li

cudacellr: GPU-Aware Single-Cell Analysis Workflows

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.

Authors:Yaoxiang Li [aut, cre]

cudacellr_0.4.0.9000.tar.gz
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cudacellr_0.4.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cudacellr/json (API)

# Install 'cudacellr' in R:
install.packages('cudacellr', repos = c('https://cudaverse.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cudaverse/cudacellr/issues

Pkgdown/docs site:https://cudaverse.github.io

On CRAN:

Conda:

bioinformaticscudaversegpusingle-cell

5.00 score 1 stars 8 exports 3 dependencies

Last updated from:5408d9244a. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK157
source / vignettesOK350
linux-releaseOK218
macos-releaseOK243
macos-oldrelOK219
windows-develOK104
windows-releaseOK316
windows-oldrelOK101
wasm-releaseOK299

Exports:cuda_cell_neighborscuda_cell_pcacuda_hvgcuda_normalize_countscuda_provenancecudacell_scecudacell_seuratcudacell_workflow

Dependencies:cudaverselatticeMatrix

Backend provenance and CUDA diagnostics
Prepare CUDA | Prepare a count matrix | Normalize, select features, and run PCA and kNN | Read the provenance table | Native stage boundaries | Device requests and failures | Plan memory and workload size | A small CPU reference
Rendered frombackend-provenance.Rmdusingknitr::rmarkdown

Last update: 2026-10-19
Started: 2026-07-26

Single-cell performance and memory
What changed | Measured workflows | Where the time goes | Transfers and GPU memory | Sizing and batch guidance | Reproduce and inspect
Rendered fromperformance-memory.Rmdusingknitr::rmarkdown

Last update: 2026-10-19
Started: 2026-10-19

A native SeuratObject v5 workflow
Start with a populated object | Run the workflow | Verify preservation | Collision and realization safety | Provenance
Rendered fromseurat-object.Rmdusingknitr::rmarkdown

Last update: 2026-08-06
Started: 2026-07-26

A native SingleCellExperiment workflow
Start with a populated object | Run the workflow | Verify preservation | Normalization and size factors | Collision and memory safety | Provenance and downstream embeddings
Rendered fromsingle-cell-experiment.Rmdusingknitr::rmarkdown

Last update: 2026-08-06
Started: 2026-07-26