This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see cghMCR.
Bioconductor version: 3.11
This package provides functions to identify genomic regions of interests based on segmented copy number data from multiple samples.
Author: J. Zhang and B. Feng
Maintainer: J. Zhang <jzhang at jimmy.harvard.edu>
Citation (from within R,
enter citation("cghMCR")
):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("cghMCR")
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("cghMCR")
R Script | cghMCR findMCR | |
Reference Manual |
biocViews | CopyNumberVariation, Microarray, Software |
Version | 1.46.0 |
In Bioconductor since | BioC 1.8 (R-2.3) (14.5 years) |
License | LGPL |
Depends | methods, DNAcopy, CNTools, limma |
Imports | BiocGenerics(>= 0.1.6), stats4 |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | cghMCR_1.46.0.tar.gz |
Windows Binary | cghMCR_1.46.0.zip |
macOS 10.13 (High Sierra) | cghMCR_1.46.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/cghMCR |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/cghMCR |
Package Short Url | https://bioconductor.org/packages/cghMCR/ |
Package Downloads Report | Download Stats |
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