To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("iGC")
In most cases, you don't need to download the package archive at all.
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This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see iGC.
Bioconductor version: 3.4
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")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("iGC")
| HTML | R Script | Introduction to iGC |
| Reference Manual | ||
| Text | NEWS |
| biocViews | AssayDomain, Biological Question, CopyNumberVariation, DifferentialExpression, GeneExpression, Genetics, GenomicVariation, Microarray, MultipleComparison, ResearchField, Sequencing, Software, Technology, WorkflowStep |
| Version | 1.4.0 |
| In Bioconductor since | BioC 3.2 (R-3.2) (1.5 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 |
Follow Installation instructions to use this package in your R session.
| Package Source | iGC_1.4.0.tar.gz |
| Windows Binary | iGC_1.4.0.zip |
| Mac OS X 10.9 (Mavericks) | iGC_1.4.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/iGC/tree/release-3.4 |
| Package Short Url | http://bioconductor.org/packages/iGC/ |
| Package Downloads Report | Download Stats |
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