DOI: 10.18129/B9.bioc.iGC  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see iGC.

An integrated analysis package of Gene expression and Copy number alteration

Bioconductor version: 3.16

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")):


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biocViews AssayDomain, Biological Question, CopyNumberVariation, DifferentialExpression, GeneExpression, Genetics, GenomicVariation, Microarray, MultipleComparison, ResearchField, Sequencing, Software, Technology, WorkflowStep
Version 1.28.0
In Bioconductor since BioC 3.2 (R-3.2) (7.5 years)
License GPL-2
Depends R (>= 3.2.0)
Imports plyr, data.table
Suggests BiocStyle, knitr, rmarkdown
Enhances doMC
URL http://github.com/ccwang002/iGC
BugReports http://github.com/ccwang002/iGC/issues
Depends On Me
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Follow Installation instructions to use this package in your R session.

Source Package iGC_1.28.0.tar.gz
Windows Binary iGC_1.28.0.zip
macOS Binary (x86_64) iGC_1.28.0.tgz
macOS Binary (arm64) iGC_1.28.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/iGC
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/iGC
Bioc Package Browser https://code.bioconductor.org/browse/iGC/
Package Short Url https://bioconductor.org/packages/iGC/
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