Contents

1 Overview

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:

2 Installation and use

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

3 Session information

sessionInfo()
## R Under development (unstable) (2025-10-20 r88955)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 24.04.3 LTS
## 
## 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
## 
## 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                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       
## 
## time zone: America/New_York
## tzcode source: system (glibc)
## 
## attached base packages:
## [1] stats4    stats     graphics  grDevices utils     datasets  methods  
## [8] base     
## 
## 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           
## 
## loaded via a namespace (and not attached):
##  [1] DBI_1.2.3           gridExtra_2.3       httr2_1.2.1        
##  [4] rlang_1.1.6         magrittr_2.0.4      otel_0.2.0         
##  [7] compiler_4.6.0      RSQLite_2.4.3       mgcv_1.9-3         
## [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     
## [19] promises_1.5.0      rmarkdown_2.30      ggbeeswarm_0.7.2   
## [22] tinytex_0.57        purrr_1.1.0         bit_4.6.0          
## [25] xfun_0.54           cachem_1.1.0        beachmat_2.27.0    
## [28] jsonlite_2.0.0      blob_1.2.4          later_1.4.4        
## [31] DelayedArray_0.37.0 BiocParallel_1.45.0 irlba_2.3.5.1      
## [34] parallel_4.6.0      R6_2.6.1            bslib_0.9.0        
## [37] RColorBrewer_1.1-3  limma_3.67.0        jquerylib_0.1.4    
## [40] Rcpp_1.1.0          bookdown_0.45       knitr_1.50         
## [43] splines_4.6.0       httpuv_1.6.16       Matrix_1.7-4       
## [46] tidyselect_1.2.1    dichromat_2.0-0.1   abind_1.4-8        
## [49] yaml_2.3.10         viridis_0.6.5       codetools_0.2-20   
## [52] curl_7.0.0          lattice_0.22-7      tibble_3.3.0       
## [55] withr_3.0.2         S7_0.2.0            evaluate_1.0.5     
## [58] BiocFileCache_3.1.0 pillar_1.11.1       BiocManager_1.30.26
## [61] filelock_1.0.3      rprojroot_2.1.1     scales_1.4.0       
## [64] xtable_1.8-4        glue_1.8.0          pheatmap_1.0.13    
## [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        
## [82] gtable_0.3.6        sass_0.4.10         digest_0.6.37      
## [85] SparseArray_1.11.1  ggrepel_0.9.6       farver_2.1.2       
## [88] memoise_2.0.1       htmltools_0.5.8.1   lifecycle_1.0.4    
## [91] here_1.0.2          statmod_1.5.1       mime_0.13          
## [94] bit64_4.6.0-1