iGC
An integrated analysis package of Gene expression and Copy number alteration
Bioconductor version: Release (3.19)
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")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("iGC")
For older versions of R, please refer to the appropriate Bioconductor release.
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 |
Details
biocViews | AssayDomain, Biological Question, CopyNumberVariation, DifferentialExpression, GeneExpression, Genetics, GenomicVariation, Microarray, MultipleComparison, ResearchField, Sequencing, Software, Technology, WorkflowStep |
Version | 1.34.0 |
In Bioconductor since | BioC 3.2 (R-3.2) (9 years) |
License | GPL-2 |
Depends | R (>= 3.2.0) |
Imports | plyr, data.table |
System Requirements | |
URL | http://github.com/ccwang002/iGC |
Bug Reports | http://github.com/ccwang002/iGC/issues |
See More
Suggests | BiocStyle, knitr, rmarkdown |
Linking To | |
Enhances | doMC |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | iGC_1.34.0.tar.gz |
Windows Binary | iGC_1.34.0.zip |
macOS Binary (x86_64) | iGC_1.34.0.tgz |
macOS Binary (arm64) | iGC_1.34.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/iGC |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/iGC |
Bioc Package Browser | https://code.bioconductor.org/browse/iGC/ |
Package Short Url | https://bioconductor.org/packages/iGC/ |
Package Downloads Report | Download Stats |