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 version 4.5.1 Patched (2025-08-23 r88802)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 24.04.3 LTS
## 
## Matrix products: default
## BLAS:   /home/biocbuild/bbs-3.22-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_1.9.14                shiny_1.11.1               
##  [3] basilisk_1.21.5             reticulate_1.43.0          
##  [5] scater_1.37.0               ggplot2_4.0.0              
##  [7] scuttle_1.19.0              SingleCellExperiment_1.31.1
##  [9] SummarizedExperiment_1.39.2 Biobase_2.69.1             
## [11] GenomicRanges_1.61.6        Seqinfo_0.99.3             
## [13] IRanges_2.43.5              S4Vectors_0.47.4           
## [15] BiocGenerics_0.55.4         generics_0.1.4             
## [17] MatrixGenerics_1.21.0       matrixStats_1.5.0          
## [19] BiocStyle_2.37.1           
## 
## 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_4.5.1       RSQLite_2.4.3        mgcv_1.9-3          
## [10] dir.expiry_1.17.0    png_0.1-8            vctrs_0.6.5         
## [13] pkgconfig_2.0.3      crayon_1.5.3         fastmap_1.2.0       
## [16] magick_2.9.0         dbplyr_2.5.1         XVector_0.49.1      
## [19] labeling_0.4.3       promises_1.4.0       rmarkdown_2.30      
## [22] ggbeeswarm_0.7.2     tinytex_0.57         purrr_1.1.0         
## [25] bit_4.6.0            xfun_0.53            cachem_1.1.0        
## [28] beachmat_2.25.5      jsonlite_2.0.0       blob_1.2.4          
## [31] later_1.4.4          DelayedArray_0.35.3  BiocParallel_1.43.4 
## [34] irlba_2.3.5.1        parallel_4.5.1       R6_2.6.1            
## [37] bslib_0.9.0          RColorBrewer_1.1-3   limma_3.65.7        
## [40] jquerylib_0.1.4      Rcpp_1.1.0           bookdown_0.45       
## [43] knitr_1.50           splines_4.5.1        httpuv_1.6.16       
## [46] Matrix_1.7-4         tidyselect_1.2.1     dichromat_2.0-0.1   
## [49] abind_1.4-8          yaml_2.3.10          viridis_0.6.5       
## [52] codetools_0.2-20     curl_7.0.0           lattice_0.22-7      
## [55] tibble_3.3.0         withr_3.0.2          S7_0.2.0            
## [58] evaluate_1.0.5       BiocFileCache_2.99.6 pillar_1.11.1       
## [61] BiocManager_1.30.26  filelock_1.0.3       scales_1.4.0        
## [64] xtable_1.8-4         glue_1.8.0           pheatmap_1.0.13     
## [67] tools_4.5.1          BiocNeighbors_2.3.1  ScaledMatrix_1.17.0 
## [70] cowplot_1.2.0        grid_4.5.1           nlme_3.1-168        
## [73] beeswarm_0.4.0       BiocSingular_1.25.0  vipor_0.4.7         
## [76] cli_3.6.5            rsvd_1.0.5           rappdirs_0.3.3      
## [79] S4Arrays_1.9.1       viridisLite_0.4.2    dplyr_1.1.4         
## [82] gtable_0.3.6         sass_0.4.10          digest_0.6.37       
## [85] SparseArray_1.9.1    ggrepel_0.9.6        farver_2.1.2        
## [88] memoise_2.0.1        htmltools_0.5.8.1    lifecycle_1.0.4     
## [91] statmod_1.5.1        mime_0.13            bit64_4.6.0-1