rama

DOI: 10.18129/B9.bioc.rama    

Robust Analysis of MicroArrays

Bioconductor version: Release (3.13)

Robust estimation of cDNA microarray intensities with replicates. The package uses a Bayesian hierarchical model for the robust estimation. Outliers are modeled explicitly using a t-distribution, and the model also addresses classical issues such as design effects, normalization, transformation, and nonconstant variance.

Author: Raphael Gottardo

Maintainer: Raphael Gottardo <raph at stat.ubc.ca>

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("rama")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("rama")

 

PDF	R Script	rama Tutorial
PDF		Reference Manual

Details

biocViews	Microarray, Preprocessing, QualityControl, Software, TwoChannel
Version	1.66.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 16.5 years)
License	GPL (>= 2)
Depends	R (>= 2.5.0)
Imports
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Depends On Me	bridge
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Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	rama_1.66.0.tar.gz
Windows Binary	rama_1.66.0.zip
macOS 10.13 (High Sierra)	rama_1.66.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/rama
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/rama
Package Short Url	https://bioconductor.org/packages/rama/
Package Downloads Report	Download Stats