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

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).

Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("fCCAC")
AuthorPedro Madrigal <pm12@sanger.ac.uk>
Bioconductor views Coverage Genetics Sequencing Transcription
Date of publicationNone
MaintainerPedro Madrigal <pm12@sanger.ac.uk>
LicenseArtistic-2.0
Version1.0.0

View on Bioconductor

Files

DESCRIPTION
NAMESPACE
NEWS
R
R/fccac.R R/heatmapfCCAC.R R/multiplot.R
build
build/vignette.rds
inst
inst/CITATION
inst/doc
inst/doc/fCCAC.R
inst/doc/fCCAC.Rnw
inst/doc/fCCAC.pdf
inst/extdata
inst/extdata/chr21_H3K4me3_1.bw
inst/extdata/chr21_H3K4me3_2.bw
inst/extdata/chr21_H3K4me3_3.bw
inst/extdata/chr21_merged_ACT_K4.bed
inst/unitTests
inst/unitTests/test_fCCAC.R
man
man/fCCAC-internal.Rd man/fCCAC-package.Rd man/fccac.Rd man/heatmapfCCAC.Rd
tests
tests/runTests.R
vignettes
vignettes/fCCAC.Rnw

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