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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: 2.14
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")
| R Script | CRImage Manual | |
| Reference Manual |
Details
| biocViews | CellBiology, Classification, Software |
| Version | 1.12.0 |
| 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_1.12.0.tar.gz |
| Windows Binary | CRImage_1.12.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | CRImage_1.12.0.tgz |
| Mac OS X 10.9 (Mavericks) | CRImage_1.12.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
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