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Bioconductor - iGC

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 (3.21)

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 "4.5") 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")
Details biocViews AssayDomain, Biological Question, CopyNumberVariation, DifferentialExpression, GeneExpression, Genetics, GenomicVariation, Microarray, MultipleComparison, ResearchField, Sequencing, Software, Technology, WorkflowStep Version 1.38.0 In Bioconductor since BioC 3.2 (R-3.2) (9.5 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 Package Archives

Follow Installation instructions to use this package in your R session.

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