Bioconductor version: Release (3.13)
It fits correlation motif model to multiple studies to detect study specific differential expression patterns.
Author: Hongkai Ji, Yingying Wei
Maintainer: Yingying Wei <ywei at jhsph.edu>
Citation (from within R,
enter citation("Cormotif")
):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("Cormotif")
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("Cormotif")
R Script | Cormotif Vignette | |
Reference Manual |
biocViews | DifferentialExpression, Microarray, Software |
Version | 1.38.0 |
In Bioconductor since | BioC 2.9 (R-2.14) (10 years) |
License | GPL-2 |
Depends | R (>= 2.12.0), affy, limma |
Imports | affy, graphics, grDevices |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | Cormotif_1.38.0.tar.gz |
Windows Binary | Cormotif_1.38.0.zip (32- & 64-bit) |
macOS 10.13 (High Sierra) | Cormotif_1.38.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/Cormotif |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/Cormotif |
Package Short Url | https://bioconductor.org/packages/Cormotif/ |
Package Downloads Report | Download Stats |
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