iGC
An integrated analysis package of Gene expression and Copy number alteration
Bioconductor version: 3.23 · Package version: 1.42.0
This package is intended to identify differentially expressed genes driven by Copy Number Alterations from samples with both gene expression and CNA data.
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 |
| Downloads rank | 452 |
| Source branch | RELEASE_3_23 |
| biocViews | AssayDomain, Biological Question, CopyNumberVariation, DifferentialExpression, GeneExpression, Genetics, GenomicVariation, Microarray, MultipleComparison, ResearchField, Sequencing, Software, Technology, WorkflowStep |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | iGC_1.42.0.tar.gz |
| Windows binary (x86_64) | iGC_1.42.0.zip |
| macOS binary (arm64) | iGC_1.42.0.tgz |
| macOS binary (x86_64) | iGC_1.42.0.tgz |
Dependencies
Depends: R (>= 3.2.0)
Imports: plyr, data.table
Suggests: BiocStyle, knitr, rmarkdown
Enhances: doMC