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>
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 | 1.8.0 |
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 |
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 |
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