iGC
This is the development version of iGC; for the stable release version, see iGC.
All Bioconductor versions of iGC
3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2
An integrated analysis package of Gene expression and Copy number alteration
Bioconductor version: 3.24 · Package version: 1.43.0
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>
DOI: 10.18129/B9.bioc.iGC
Citation
From within R, enter citation("iGC"):
Yi-Pin Lai, Liang-Bo Wang, Tzu-Pin Lu, Eric Y. Chuang. iGC: An integrated analysis package of Gene expression and Copy number alteration. doi:10.18129/B9.bioc.iGC, R package version 1.43.0, https://bioconductor.org/packages/iGC.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("iGC")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.43.0 |
| License | GPL-2 |
| URL | http://github.com/ccwang002/iGC |
| Bug Reports | http://github.com/ccwang002/iGC/issues |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.2 (R-3.2) (10 years) |
| Downloads rank | 1302 of 2,456 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | AssayDomain, Biological Question, CopyNumberVariation, DifferentialExpression, GeneExpression, Genetics, GenomicVariation, Microarray, MultipleComparison, ResearchField, Sequencing, Software, Technology, WorkflowStep |
| Package Short Url | https://bioconductor.org/packages/iGC/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("iGC")| Introduction to iGC | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | iGC_1.43.0.tar.gz |
| Windows binary (x86_64) | iGC_1.43.0.zip |
| macOS binary (arm64) | iGC_1.43.0.tgz |
| macOS binary (x86_64) | iGC_1.43.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/iGC |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/iGC |
| Package Downloads Report | Download Stats |