iGC
An integrated analysis package of Gene expression and Copy number alteration
Bioconductor version: 3.24 · Package version: 1.43.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
This package is intended to identify differentially expressed genes driven by Copy Number Alterations from samples with both gene expression and CNA data.
DOI: 10.18129/B9.bioc.iGC
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("iGC")Details
| Maintainer | Liang-Bo Wang <r02945054@ntu.edu.tw> |
| Author | Yi-Pin Lai [aut], Liang-Bo Wang [aut, cre], Tzu-Pin Lu [aut], Eric Y. Chuang [aut] |
| License | GPL-2 |
| URL | http://github.com/ccwang002/iGC |
| Bug Reports | http://github.com/ccwang002/iGC/issues |
| 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/ |
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.
Documentation
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 |