SCnorm
Normalization of single cell RNA-seq data
Bioconductor version: Release (3.20)
This package implements SCnorm — a method to normalize single-cell RNA-seq data.
Author: Rhonda Bacher
Maintainer: Rhonda Bacher <rbacher at ufl.edu>
Citation (from within R, enter
citation("SCnorm")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
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 | 1.28.0 |
| In Bioconductor since | BioC 3.6 (R-3.4) (7 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 |
| System Requirements | |
| URL | https://github.com/rhondabacher/SCnorm |
| Bug Reports | https://github.com/rhondabacher/SCnorm/issues |
See More
| Suggests | BiocStyle, knitr, rmarkdown, devtools |
| 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 | SCnorm_1.28.0.tar.gz |
| Windows Binary (x86_64) | SCnorm_1.28.0.zip (64-bit only) |
| macOS Binary (x86_64) | SCnorm_1.28.0.tgz |
| macOS Binary (arm64) | SCnorm_1.28.0.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 |