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SCBN

This is the released version of SCBN; for the devel version, see SCBN.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8

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


Bioconductor version: Release (3.23)

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")):

Yan Zhou. SCBN: A statistical normalization method and differential expression analysis for RNA-seq data between different species. doi:10.18129/B9.bioc.SCBN, R package version 1.30.0, https://bioconductor.org/packages/SCBN.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

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 ManualPDF
NEWSText

Details

biocViews DifferentialExpression, GeneExpression, Normalization, Software
Version1.30.0
In Bioconductor sinceBioC 3.8 (R-3.5) (8 years)
License GPL-2
Depends R (>= 3.5.0)
Imports stats
System Requirements
URL
See More
Suggests knitr, rmarkdown, BiocStyle, BiocManager
Linking To
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Depends On Me
Imports Me TEKRABber
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Build Report Build Report, r-universe

Package Archives

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

Source Package SCBN_1.30.0.tar.gz
Windows Binary (x86_64) SCBN_1.30.0.zip
macOS Binary (big-sur-x86_64) SCBN_1.30.0.tgz
macOS Binary (sonoma-arm64) SCBN_1.30.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/SCBN
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/SCBN
Package Short Url https://bioconductor.org/packages/SCBN/
Package Downloads ReportDownload Stats