CRImage
CRImage a package to classify cells and calculate tumour cellularity
Bioconductor version: Release (3.20)
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("CRImage")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("CRImage")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CRImage")
CRImage Manual | R Script | |
Reference Manual |
Details
biocViews | CellBiology, Classification, Software |
Version | 1.54.0 |
In Bioconductor since | BioC 2.7 (R-2.12) (14 years) |
License | Artistic-2.0 |
Depends | EBImage, DNAcopy, aCGH |
Imports | MASS, e1071, foreach, sgeostat |
System Requirements | |
URL |
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Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | CRImage_1.54.0.tar.gz |
Windows Binary (x86_64) | CRImage_1.54.0.zip |
macOS Binary (x86_64) | CRImage_1.54.0.tgz |
macOS Binary (arm64) | CRImage_1.54.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/CRImage |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/CRImage |
Bioc Package Browser | https://code.bioconductor.org/browse/CRImage/ |
Package Short Url | https://bioconductor.org/packages/CRImage/ |
Package Downloads Report | Download Stats |