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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

MaintainerVincent Carey <stvjc@channing.harvard.edu>
AuthorVincent Carey [aut, cre] (ORCID: <https://orcid.org/0000-0003-4046-0063>)
LicenseArtistic-2.0
URLhttps://github.com/vjcitn/scviR
Bug Reportshttps://github.com/vjcitn/scviR/issues
StatusDeprecated
Downloads rank160
Source branchRELEASE_3_23
biocViewsDataImport, 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