scviR
This is the development version of scviR; for the stable release version, see scviR.
experimental inferface from R to scvi-tools
Bioconductor version: Development (3.21)
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.
Author: Vincent Carey [aut, cre] (ORCID:
Maintainer: Vincent Carey <stvjc at channing.harvard.edu>
citation("scviR")
):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("scviR")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("scviR")
Comparing totalVI and OSCA book CITE-seq analyses | HTML | R Script |
scvi-tools CITE-seq tutorial in R, using serialized tutorial components | HTML | R Script |
scviR: an R package interfacing Bioconductor and scvi-tools | HTML | R Script |
Reference Manual |
Details
biocViews | DataImport, Infrastructure, SingleCell, Software |
Version | 1.7.0 |
In Bioconductor since | BioC 3.17 (R-4.3) (1.5 years) |
License | Artistic-2.0 |
Depends | R (>= 4.3), basilisk, shiny, SingleCellExperiment |
Imports | reticulate, BiocFileCache, utils, pheatmap, SummarizedExperiment, S4Vectors, limma, scater, stats, MatrixGenerics |
System Requirements | |
URL | https://github.com/vjcitn/scviR |
Bug Reports | https://github.com/vjcitn/scviR/issues |
See More
Suggests | knitr, testthat, reshape2, ggplot2, rhdf5, BiocStyle |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | scviR_1.7.0.tar.gz |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | scviR_1.7.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/scviR |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/scviR |
Bioc Package Browser | https://code.bioconductor.org/browse/scviR/ |
Package Short Url | https://bioconductor.org/packages/scviR/ |
Package Downloads Report | Download Stats |