iGC

This is the released version of iGC; for the devel version, see iGC.

An integrated analysis package of Gene expression and Copy number alteration


Bioconductor version: Release (3.20)

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 PDF
NEWS Text

Details

biocViews AssayDomain, Biological Question, CopyNumberVariation, DifferentialExpression, GeneExpression, Genetics, GenomicVariation, Microarray, MultipleComparison, ResearchField, Sequencing, Software, Technology, WorkflowStep
Version 1.36.0
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_1.36.0.tar.gz
Windows Binary (x86_64) iGC_1.36.0.zip
macOS Binary (x86_64) iGC_1.36.0.tgz
macOS Binary (arm64) iGC_1.36.0.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