Bioconductor version: Release (2.12)
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>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("rama")
To cite this package in a publication, start R and enter:
citation("rama")
| R Script | rama Tutorial | |
| Reference Manual |
| biocViews | Microarray, Preprocessing, QualityControl, Software, TwoChannel |
| Version | 1.34.0 |
| In Bioconductor since | BioC 1.6 (R-1.11) or earlier |
| License | GPL (>= 2) |
| Depends | R(>= 2.5.0) |
| Imports | |
| Suggests | |
| System Requirements | |
| URL | |
| Depends On Me | bridge |
| Imports Me | |
| Suggests Me |
| Package Source | rama_1.34.0.tar.gz |
| Windows Binary | rama_1.34.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | rama_1.34.0.tgz |
| Package Downloads Report | Download Stats |
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