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iGC

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

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2

An integrated analysis package of Gene expression and Copy number alteration

DOI: 10.18129/B9.bioc.iGC

Bioconductor version: Release (3.23)

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")):

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 1.42.0, https://bioconductor.org/packages/iGC.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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

Package Archives

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