To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("CRImage")

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

CRImage

CRImage a package to classify cells and calculate tumour cellularity

Bioconductor version: 2.13

CRImage provides functionality to process and analyze images, in particular to classify cells in biological images. Furthermore, in the context of tumor images, it provides functionality to calculate tumour cellularity.

Author: Henrik Failmezger <failmezger at mpipz.mpg.de>, Yinyin Yuan <Yinyin.Yuan at cancer.org.uk>, Oscar Rueda <oscar.rueda at cancer.org.uk>, Florian Markowetz <Florian.Markowetz at cancer.org.uk>

Maintainer: Henrik Failmezger <failmezger at mpipz.mpg.de>, Yinyin Yuan <Yinyin.Yuan at cancer.org.uk>

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

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("CRImage")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("CRImage")

 

PDF cellularity2.pdf
PDF R Script CRImage Manual
PDF labeledImage.pdf
PDF segmentedImage.pdf
PDF segmentedImageRaw.pdf
PDF   Reference Manual

Details

biocViews CellBiology, Classification, Software
Version 1.10.0
In Bioconductor since BioC 2.7 (R-2.12)
License Artistic-2.0
Depends EBImage, DNAcopy, aCGH
Imports MASS, e1071, foreach, sgeostat
Suggests
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source CRImage_1.10.0.tar.gz
Windows Binary CRImage_1.10.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) CRImage_1.10.0.tgz
Browse/checkout source (username/password: readonly)
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