rama

DOI: 10.18129/B9.bioc.rama    

Robust Analysis of MicroArrays

Bioconductor version: Release (3.6)

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 and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("rama")

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	1.52.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 13 years)
License	GPL (>= 2)
Depends	R (>= 2.5.0)
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me	bridge
Imports Me
Suggests Me
Build Report

Package Archives

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

Source Package	rama_1.52.0.tar.gz
Windows Binary	rama_1.52.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	rama_1.52.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/rama
Package Short Url	http://bioconductor.org/packages/rama/
Package Downloads Report	Download Stats