scviR
experimental inferface from R to scvi-tools
Bioconductor version: 3.23 · Package version: 1.12.0
This package defines interfaces from R to scvi-tools. A vignette works through the totalVI tutorial for analyzing CITE-seq data. Another vignette compares outputs of Chapter 12 of the OSCA book with analogous outputs based on totalVI quantifications. Future work will address other components of scvi-tools, with a focus on building understanding of probabilistic methods based on variational autoencoders.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("scviR") Details
| Maintainer | Vincent Carey <stvjc@channing.harvard.edu> |
| Author | Vincent Carey [aut, cre] (ORCID: <https://orcid.org/0000-0003-4046-0063>) |
| License | Artistic-2.0 |
| URL | https://github.com/vjcitn/scviR |
| Bug Reports | https://github.com/vjcitn/scviR/issues |
| Status | Deprecated |
| Downloads rank | 160 |
| Source branch | RELEASE_3_23 |
| biocViews | DataImport, Infrastructure, SingleCell, Software |
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Dependencies
Depends: R (>= 4.3), basilisk, shiny, SingleCellExperiment
Imports: reticulate, BiocFileCache, utils, pheatmap, SummarizedExperiment, S4Vectors, limma, scater, stats, MatrixGenerics
Suggests: knitr, testthat, reshape2, ggplot2, rhdf5, BiocStyle