Bioconductor-mirror/iGC: An integrated analysis package of Gene expression and Copy number alteration

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

Getting started

Package details

AuthorYi-Pin Lai [aut], Liang-Bo Wang [aut, cre], Tzu-Pin Lu [aut], Eric Y. Chuang [aut]
Bioconductor views AssayDomain Biological Question CopyNumberVariation DifferentialExpression GeneExpression Genetics GenomicVariation Microarray MultipleComparison ResearchField Sequencing Software Technology WorkflowStep
MaintainerLiang-Bo Wang <[email protected]>
LicenseGPL-2
Version1.7.0
URL http://github.com/ccwang002/iGC
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Bioconductor-mirror/iGC")
Bioconductor-mirror/iGC documentation built on June 1, 2017, 10:43 a.m.