iGC
An integrated analysis package of Gene expression and Copy number alteration

Package index
Search the iGC package
Vignettes
Functions
14
Source code
8
Man pages
7
Home
/
Bioconductor
/
iGC: An integrated analysis package of Gene expression and Copy number alteration

iGC: An integrated analysis package of Gene expression and Copy number alteration

This package is intended to identify differentially expressed genes driven by Copy Number Alterations from samples with both gene expression and CNA data.

Getting started

Introduction to iGC

Browse package contents

Vignettes Man pages API and functions Files

Package details
AuthorYi-Pin Lai [aut], Liang-Bo Wang [aut, cre], Tzu-Pin Lu [aut], Eric Y. Chuang [aut]
Bioconductor views AssayDomain Biological Question CopyNumberVariation DifferentialExpression GeneExpression Genetics GenomicVariation Microarray MultipleComparison ResearchField Sequencing Software Technology WorkflowStep
MaintainerLiang-Bo Wang <r02945054@ntu.edu.tw>
LicenseGPL-2
Version1.20.0
URL http://github.com/ccwang002/iGC 
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R: 
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("iGC")

Try the iGC package in your browser

Any scripts or data that you put into this service are public.

iGC documentation built on Nov. 8, 2020, 6:49 p.m.

R Package Documentation

rdrr.io home R language documentation Run R code online

Browse R Packages

CRAN packages Bioconductor packages R-Forge packages GitHub packages

We want your feedback!

Note that we can't provide technical support on individual packages. You should contact the package authors for that.
GitHub issue tracker
ian@mutexlabs.com
Personal blog

 
Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.

Close