To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("fCCAC")
In most cases, you don't need to download the package archive at all.
fCCAC
|
|
|
|
|
|
|
|
functional Canonical Correlation Analysis to evaluate Covariance between nucleic acid sequencing datasets
Bioconductor version: Release (3.4)
An application of functional canonical correlation analysis to assess covariance of nucleic acid sequencing datasets such as chromatin immunoprecipitation followed by deep sequencing (ChIP-seq).
Author: Pedro Madrigal <pm12 at sanger.ac.uk>
Maintainer: Pedro Madrigal <pm12 at sanger.ac.uk>
Citation (from within R,
enter citation("fCCAC")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("fCCAC")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("fCCAC")
| R Script | fCCAC Vignette | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Coverage, Genetics, Sequencing, Software, Transcription |
| Version | 1.0.0 |
| In Bioconductor since | BioC 3.4 (R-3.3) (0.5 years) |
| License | Artistic-2.0 |
| Depends | R (>= 3.3.0), S4Vectors, IRanges, GenomicRanges, grid |
| Imports | fda, RColorBrewer, genomation, ggplot2, ComplexHeatmap, grDevices, stats, utils |
| LinkingTo | |
| Suggests | RUnit, BiocGenerics, BiocStyle |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | fCCAC_1.0.0.tar.gz |
| Windows Binary | fCCAC_1.0.0.zip |
| Mac OS X 10.9 (Mavericks) | fCCAC_1.0.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/fCCAC/tree/release-3.4 |
| Package Short Url | http://bioconductor.org/packages/fCCAC/ |
| Package Downloads Report | Download Stats |
Documentation »
Bioconductor
- Package vignettes and manuals.
- Workflows for learning and use.
- Course and conference material.
- Videos.
- Community resources and tutorials.
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations:
- Support site - for questions about Bioconductor packages
- Bioc-devel mailing list - for package developers
