CAFE
This is the development version of CAFE; for the stable release version, see CAFE.
Chromosmal Aberrations Finder in Expression data
Bioconductor version: Development (3.21)
Detection and visualizations of gross chromosomal aberrations using Affymetrix expression microarrays as input
Author: Sander Bollen
Maintainer: Sander Bollen <sander.h.bollen at gmail.com>
Citation (from within R, enter
citation("CAFE")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("CAFE")
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("CAFE")| Manual | R Script | |
| Reference Manual |
Details
| biocViews | GeneExpression, GeneSetEnrichment, Microarray, OneChannel, Software |
| Version | 1.43.0 |
| In Bioconductor since | BioC 2.14 (R-3.1) (10.5 years) |
| License | GPL-3 |
| Depends | R (>= 2.10), biovizBase, GenomicRanges, IRanges, ggbio |
| Imports | affy, ggplot2, annotate, grid, gridExtra, tcltk, Biobase |
| System Requirements | |
| URL |
See More
| Suggests | RUnit, BiocGenerics, BiocStyle |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | CAFE_1.43.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/CAFE |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/CAFE |
| Bioc Package Browser | https://code.bioconductor.org/browse/CAFE/ |
| Package Short Url | https://bioconductor.org/packages/CAFE/ |
| Package Downloads Report | Download Stats |