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).

AuthorPedro Madrigal <pm12@sanger.ac.uk>
Date of publicationNone
MaintainerPedro Madrigal <pm12@sanger.ac.uk>
LicenseArtistic-2.0
Version1.0.0

View on Bioconductor

Files

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

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