To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

spotSegmentation

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see spotSegmentation.

Microarray Spot Segmentation and Gridding for Blocks of Microarray Spots

Bioconductor version: 3.4

Spot segmentation via model-based clustering and gridding for blocks within microarray slides, as described in Li et al, Robust Model-Based Segmentation of Microarray Images, Technical Report no. 473, Department of Statistics, University of Washington.

Author: Qunhua Li, Chris Fraley, Adrian Raftery Department of Statistics, University of Washington

Maintainer: Chris Fraley <fraley at stat.washington.edu>

Citation (from within R, enter citation("spotSegmentation")):

Installation

To install this package, start R and enter:

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

Documentation


PDF		Reference Manual

Details

biocViews	Microarray, Preprocessing, QualityControl, Software, TwoChannel
Version	1.48.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 12 years)
License	GPL (>= 2)
Depends	R (>= 2.10), mclust
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL	http://www.stat.washington.edu/fraley
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

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

Package Source	spotSegmentation_1.48.0.tar.gz
Windows Binary	spotSegmentation_1.48.0.zip
Mac OS X 10.9 (Mavericks)	spotSegmentation_1.48.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/spotSegmentation/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/spotSegmentation/
Package Downloads Report	Download Stats

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