iGC

DOI: 10.18129/B9.bioc.iGC    

An integrated analysis package of Gene expression and Copy number alteration

Bioconductor version: Release (3.15)

This package is intended to identify differentially expressed genes driven by Copy Number Alterations from samples with both gene expression and CNA data.

Author: Yi-Pin Lai [aut], Liang-Bo Wang [aut, cre], Tzu-Pin Lu [aut], Eric Y. Chuang [aut]

Maintainer: Liang-Bo Wang <r02945054 at ntu.edu.tw>

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

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("iGC")

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("iGC")

 

HTML R Script Introduction to iGC
PDF   Reference Manual
Text   NEWS

Details

biocViews AssayDomain, Biological Question, CopyNumberVariation, DifferentialExpression, GeneExpression, Genetics, GenomicVariation, Microarray, MultipleComparison, ResearchField, Sequencing, Software, Technology, WorkflowStep
Version 1.26.0
In Bioconductor since BioC 3.2 (R-3.2) (7 years)
License GPL-2
Depends R (>= 3.2.0)
Imports plyr, data.table
LinkingTo
Suggests BiocStyle, knitr, rmarkdown
SystemRequirements
Enhances doMC
URL http://github.com/ccwang002/iGC
BugReports http://github.com/ccwang002/iGC/issues
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 iGC_1.26.0.tar.gz
Windows Binary iGC_1.26.0.zip
macOS Binary (x86_64) iGC_1.26.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/iGC
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/iGC
Package Short Url https://bioconductor.org/packages/iGC/
Package Downloads Report Download Stats

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