Bioconductor version: Release (3.6)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("spotSegmentation")
Reference Manual |
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 (>= 2.10), mclust |
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URL | http://www.stat.washington.edu/fraley |
Depends On Me | |
Imports Me | |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | spotSegmentation_1.52.0.tar.gz |
Windows Binary | spotSegmentation_1.52.0.zip |
Mac OS X 10.11 (El Capitan) | spotSegmentation_1.52.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/spotSegmentation |
Package Short Url | http://bioconductor.org/packages/spotSegmentation/ |
Package Downloads Report | Download Stats |
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