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SCBN

This is the development version of SCBN; for the stable release version, see SCBN.

A statistical normalization method and differential expression analysis for RNA-seq data between different species

Bioconductor version: Development (3.18)

This package provides a scale based normalization (SCBN) method to identify genes with differential expression between different species. It takes into account the available knowledge of conserved orthologous genes and the hypothesis testing framework to detect differentially expressed orthologous genes. The method on this package are described in the article 'A statistical normalization method and differential expression analysis for RNA-seq data between different species' by Yan Zhou, Jiadi Zhu, Tiejun Tong, Junhui Wang, Bingqing Lin, Jun Zhang (2018, pending publication).

Author: Yan Zhou

Maintainer: Yan Zhou <2160090406 at email.szu.edu.cn>

Citation (from within R, enter citation("SCBN")):

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("SCBN")

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("SCBN")
SCBN Tutorial HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews DifferentialExpression, GeneExpression, Normalization, Software
Version 1.19.0
In Bioconductor since BioC 3.8 (R-3.5) (5 years)
License GPL-2
Depends R (>= 3.5.0)
Imports stats
Linking To
Suggests knitr, rmarkdown, BiocStyle, BiocManager
System Requirements
Enhances
URL
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Depends On Me
Imports Me TEKRABber
Suggests Me
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Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package SCBN_1.19.0.tar.gz
Windows Binary SCBN_1.19.0.zip
macOS Binary (x86_64) SCBN_1.19.0.tgz
macOS Binary (arm64) SCBN_1.19.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/SCBN
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/SCBN
Bioc Package Browser https://code.bioconductor.org/browse/SCBN/
Package Short Url https://bioconductor.org/packages/SCBN/
Package Downloads Report Download Stats