scvi-tools is an element of the scverse toolchest for single-cell omics data analysis.
The scviR package is a very elementary approach to interfacing between R, Bioconductor and scvi-tools. The long-term plan is to illustrate several aspects of variational inference (VI) applied to single cell genomics in a way that is convenient for Bioconductor users.
The package makes use of SingleCellExperiment and anndata representations of single-cell genomic assays.
Several points should be kept in mind when using this package:
As of May 2025, use BiocManager to install scviR in R 4.5.0 or above:
BiocManager::install("vjcitn/scviR")
Be sure the remotes package has been installed. If you are working at a slow
internet connection, it may be useful to set options(timeout=3600) when running
functions
getCh12AllSce() (74 MB will be retrieved and cached)getCh12Sce() (58 MB will be retrieved and cached)getTotalVINormalized5k10k() (191 MB will be retrieved and cached)## R Under development (unstable) (2025-10-20 r88955)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 24.04.3 LTS
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## Matrix products: default
## BLAS: /home/biocbuild/bbs-3.23-bioc/R/lib/libRblas.so
## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.12.0 LAPACK version 3.12.0
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## locale:
## [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
## [3] LC_TIME=en_GB LC_COLLATE=C
## [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
## [7] LC_PAPER=en_US.UTF-8 LC_NAME=C
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## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
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## time zone: America/New_York
## tzcode source: system (glibc)
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## attached base packages:
## [1] stats4 stats graphics grDevices utils datasets methods
## [8] base
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## other attached packages:
## [1] scviR_1.11.0 shiny_1.11.1
## [3] basilisk_1.23.0 reticulate_1.44.0
## [5] scater_1.39.0 ggplot2_4.0.0
## [7] scuttle_1.21.0 SingleCellExperiment_1.33.0
## [9] SummarizedExperiment_1.41.0 Biobase_2.71.0
## [11] GenomicRanges_1.63.0 Seqinfo_1.1.0
## [13] IRanges_2.45.0 S4Vectors_0.49.0
## [15] BiocGenerics_0.57.0 generics_0.1.4
## [17] MatrixGenerics_1.23.0 matrixStats_1.5.0
## [19] BiocStyle_2.39.0
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## [4] rlang_1.1.6 magrittr_2.0.4 otel_0.2.0
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## [10] dir.expiry_1.19.0 png_0.1-8 vctrs_0.6.5
## [13] pkgconfig_2.0.3 fastmap_1.2.0 magick_2.9.0
## [16] dbplyr_2.5.1 XVector_0.51.0 labeling_0.4.3
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## [67] tools_4.6.0 BiocNeighbors_2.5.0 ScaledMatrix_1.19.0
## [70] cowplot_1.2.0 grid_4.6.0 nlme_3.1-168
## [73] beeswarm_0.4.0 BiocSingular_1.27.0 vipor_0.4.7
## [76] cli_3.6.5 rsvd_1.0.5 rappdirs_0.3.3
## [79] S4Arrays_1.11.0 viridisLite_0.4.2 dplyr_1.1.4
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