This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see fCCAC.
Bioconductor version: 3.15
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")
):
To install this package, start R (version "4.2") 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.
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 |
biocViews | ChIPSeq, Coverage, Epigenetics, FunctionalGenomics, Sequencing, Software, Transcription |
Version | 1.22.0 |
In Bioconductor since | BioC 3.4 (R-3.3) (6 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, knitr, rmarkdown |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | fCCAC_1.22.0.tar.gz |
Windows Binary | fCCAC_1.22.0.zip |
macOS Binary (x86_64) | fCCAC_1.22.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/fCCAC |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/fCCAC |
Package Short Url | https://bioconductor.org/packages/fCCAC/ |
Package Downloads Report | Download Stats |
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