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

DOI: 10.18129/B9.bioc.spotSegmentation    

Microarray Spot Segmentation and Gridding for Blocks of Microarray Spots

Bioconductor version: Release (3.5)

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 1.50.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 12.5 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.

Source Package spotSegmentation_1.50.0.tar.gz
Windows Binary spotSegmentation_1.50.0.zip
Mac OS X 10.11 (El Capitan) spotSegmentation_1.50.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/spotSegmentation
Package Short Url http://bioconductor.org/packages/spotSegmentation/
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