fCCAC

This package is for version 3.14 of Bioconductor; for the stable, up-to-date release version, see fCCAC.

functional Canonical Correlation Analysis to evaluate Covariance between nucleic acid sequencing datasets

Bioconductor version: 3.14

An application of functional Canonical Correlation Analysis to allow the assessment of: (i) reproducibility of biological or technical replicates, analyzing their shared covariance in higher order components; and (ii) the associations between different datasets.

Author: Pedro Madrigal [aut, cre]

Maintainer: Pedro Madrigal <pmadrigal at ebi.ac.uk>

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

Installation

To install this package, start R (version "4.1") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
BiocManager::install("fCCAC")

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("fCCAC")

fCCAC Vignette PDF R Script

Reference Manual PDF

NEWS Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews ChIPSeq, Coverage, Epigenetics, FunctionalGenomics, Sequencing, Software, Transcription

Version 1.20.0

In Bioconductor since BioC 3.4 (R-3.3) (7.5 years)

License Artistic-2.0

Depends R (>= 3.3.0), S4Vectors, IRanges, GenomicRanges, grid

Imports fda, RColorBrewer, genomation, ggplot2, ComplexHeatmap, grDevices, stats, utils

System Requirements

URL

Suggests RUnit, BiocGenerics, BiocStyle, knitr, rmarkdown

Linking To

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Depends On Me

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Build Report Build Report

Package Archives

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

Source Package fCCAC_1.20.0.tar.gz

Windows Binary fCCAC_1.20.0.zip

macOS 10.13 (High Sierra) fCCAC_1.20.0.tgz

Source Repository git clone https://git.bioconductor.org/packages/fCCAC

Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/fCCAC

Bioc Package Browser https://code.bioconductor.org/browse/fCCAC/

Package Short Url https://bioconductor.org/packages/fCCAC/

Package Downloads Report Download Stats

Old Source Packages for BioC 3.14 Source Archive