To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("Mulcom")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
Identification of differentially expressed genes and false discovery rate (FDR) calculation by Multiple Comparison test
Author: Claudio Isella
Maintainer: Claudio Isella <claudio.isella at ircc.it>
Citation (from within R,
enter citation("Mulcom")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("Mulcom")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Mulcom")
R Script | Mulcom Manual | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, GeneExpression, Microarray, MultipleComparison, Software, StatisticalMethod |
Version | 1.26.0 |
In Bioconductor since | BioC 2.7 (R-2.12) (7 years) |
License | GPL-2 |
Depends | R (>= 2.10), fields, Biobase |
Imports | graphics, grDevices, stats, methods |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | prot2D |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | Mulcom_1.26.0.tar.gz |
Windows Binary | Mulcom_1.26.0.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | Mulcom_1.26.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/Mulcom |
Package Short Url | http://bioconductor.org/packages/Mulcom/ |
Package Downloads Report | Download Stats |
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