This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see iGC.
Bioconductor version: 3.13
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")
):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("iGC")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("iGC")
HTML | R Script | Introduction to iGC |
Reference Manual | ||
Text | NEWS |
biocViews | AssayDomain, Biological Question, CopyNumberVariation, DifferentialExpression, GeneExpression, Genetics, GenomicVariation, Microarray, MultipleComparison, ResearchField, Sequencing, Software, Technology, WorkflowStep |
Version | 1.22.0 |
In Bioconductor since | BioC 3.2 (R-3.2) (6 years) |
License | GPL-2 |
Depends | R (>= 3.2.0) |
Imports | plyr, data.table |
LinkingTo | |
Suggests | BiocStyle, knitr, rmarkdown |
SystemRequirements | |
Enhances | doMC |
URL | http://github.com/ccwang002/iGC |
BugReports | http://github.com/ccwang002/iGC/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | iGC_1.22.0.tar.gz |
Windows Binary | iGC_1.22.0.zip |
macOS 10.13 (High Sierra) | iGC_1.22.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/iGC |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/iGC |
Package Short Url | https://bioconductor.org/packages/iGC/ |
Package Downloads Report | Download Stats |
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