SCnorm
This is the development version of SCnorm; for the stable release version, see SCnorm.
Normalization of single cell RNA-seq data
Bioconductor version: Development (3.18)
This package implements SCnorm — a method to normalize single-cell RNA-seq data.
Author: Rhonda Bacher
Maintainer: Rhonda Bacher <rbacher at ufl.edu>
citation("SCnorm")
):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("SCnorm")
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("SCnorm")
SCnorm Vignette | R Script | |
Reference Manual | ||
NEWS | Text |
Details
biocViews | ImmunoOncology, Normalization, RNASeq, SingleCell, Software |
Version | 1.23.0 |
In Bioconductor since | BioC 3.6 (R-3.4) (6 years) |
License | GPL (>= 2) |
Depends | R (>= 3.4.0) |
Imports | SingleCellExperiment, SummarizedExperiment, stats, methods, graphics, grDevices, parallel, quantreg, cluster, moments, data.table, BiocParallel, S4Vectors, ggplot2, forcats, BiocGenerics |
Linking To | |
Suggests | BiocStyle, knitr, rmarkdown, devtools |
System Requirements | |
Enhances | |
URL | https://github.com/rhondabacher/SCnorm |
Bug Reports | https://github.com/rhondabacher/SCnorm/issues |
See More
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | SCnorm_1.23.0.tar.gz |
Windows Binary | SCnorm_1.23.0.zip |
macOS Binary (x86_64) | SCnorm_1.23.0.tgz |
macOS Binary (arm64) | SCnorm_1.23.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/SCnorm |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SCnorm |
Bioc Package Browser | https://code.bioconductor.org/browse/SCnorm/ |
Package Short Url | https://bioconductor.org/packages/SCnorm/ |
Package Downloads Report | Download Stats |