iGC

DOI: 10.18129/B9.bioc.iGC    

An integrated analysis package of Gene expression and Copy number alteration

Bioconductor version: Release (3.6)

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>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("iGC")

Documentation

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	1.8.0
In Bioconductor since	BioC 3.2 (R-3.2) (2.5 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
Build Report

Package Archives

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

Source Package	iGC_1.8.0.tar.gz
Windows Binary	iGC_1.8.0.zip
Mac OS X 10.11 (El Capitan)	iGC_1.8.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/iGC
Package Short Url	http://bioconductor.org/packages/iGC/
Package Downloads Report	Download Stats