Package: scviR 1.12.0
scviR: experimental inferface from R to scvi-tools
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.
Authors:
scviR_1.12.0.tar.gz
scviR_1.12.0.zip(r-4.7)scviR_1.12.0.zip(r-4.6)scviR_1.12.0.zip(r-4.5)
scviR_1.12.0.tgz(r-4.6-any)scviR_1.12.0.tgz(r-4.5-any)
scviR_1.12.0.tar.gz(r-4.7-any)scviR_1.12.0.tar.gz(r-4.6-any)
scviR_1.12.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
scviR/json (API)
| # Install 'scviR' in R: |
| install.packages('scviR', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/vjcitn/scvir/issues
- clusters.adt - ADT-based cluster labels for 7472 cells in OSCA chapter 12 analysis
- clusters.rna - MRNA-based cluster labels for 7472 cells in OSCA chapter 12 analysis
infrastructuresinglecelldataimportbioconductorcite-seqczieoss6-biocgpuscverse
Last updated from:574204bec6 (on RELEASE_3_23). Checks:6 ERROR, 2 NOTE, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 209 | ||
| linux-devel-x86_64 | NOTE | 469 | ||
| source / vignettes | OK | 1023 | ||
| linux-release-x86_64 | NOTE | 416 | ||
| macos-release-arm64 | ERROR | 509 | ||
| macos-oldrel-arm64 | ERROR | 429 | ||
| windows-devel | ERROR | 347 | ||
| windows-release | ERROR | 381 | ||
| windows-oldrel | ERROR | 327 | ||
| wasm-release | OK | 166 |
Exports:adtProfilesanndataRcacheCiteseq5k10kPbmcscacheCiteseq5k10kTutvaecacheCiteseqHDPdatacacheCiteseqHDPmodelexploreSubclgetCh12AllScegetCh12ScegetCiteseq5k10kPbmcsgetCiteseqTutvaegetPro5k10kAdatagetSubclLMgetSubclusteringFeaturesgetTotalVI5k10kAdatagetTotalVINormalized5k10kMuDataRmuonRpyHelp2scanpyHelperscanpyRscviHelperscviR
Dependencies:abindaskpassassortheadbase64encbasiliskbeachmatbeeswarmBHBiobaseBiocFileCacheBiocGenericsBiocNeighborsBiocParallelBiocSingularbitbit64blobbslibcachemCairoclicodetoolscommonmarkcpp11curlDBIdbplyrDelayedArraydigestdir.expirydplyrdqrngfarverfastmapfilelockFNNfontawesomeformatRfsfutile.loggerfutile.optionsgenericsGenomicRangesggbeeswarmggplot2ggrastrggrepelgluegridExtragtableherehtmltoolshttpuvhttr2IRangesirlbaisobandjquerylibjsonlitelabelinglambda.rlaterlatticelifecyclelimmamagrittrMatrixMatrixGenericsmatrixStatsmemoisemimeopensslotelpheatmappillarpkgconfigpngpromisespurrrR6raggrappdirsRColorBrewerRcppRcppAnnoyRcppEigenRcppMLRcppProgressRcppTOMLreticulaterlangrprojrootRSpectraRSQLitersvdRtsneS4ArraysS4VectorsS7sassScaledMatrixscalesscaterscuttleSeqinfoshinySingleCellExperimentsitmosnowsourcetoolsSparseArraystatmodstringistringrSummarizedExperimentsyssystemfontstextshapingtibbletidyrtidyselectutf8uwotvctrsviporviridisviridisLitewithrxtableXVector
CITE-seq setup for scviR, 2025
Rendered fromnew_citeseq.Rmdusingknitr::rmarkdownon May 30 2026.Last update: 2025-10-21
Started: 2025-05-12
Comparing totalVI and OSCA book CITE-seq analyses
Rendered fromcompch12.Rmdusingknitr::rmarkdownon May 30 2026.Last update: 2025-05-12
Started: 2023-02-17
scvi-tools CITE-seq tutorial in R, using serialized tutorial components
Rendered fromciteseq_tut.Rmdusingknitr::rmarkdownon May 30 2026.Last update: 2025-05-12
Started: 2023-02-05
scviR: an R package interfacing Bioconductor and scvi-tools
Rendered fromscviR.Rmdusingknitr::rmarkdownon May 30 2026.Last update: 2025-05-12
Started: 2023-01-26
