Package: fCCAC 1.31.0
Pedro Madrigal
fCCAC: functional Canonical Correlation Analysis to evaluate Covariance between nucleic acid sequencing datasets
Computational evaluation of variability across DNA or RNA sequencing datasets is a crucial step in genomics, as it allows both to evaluate reproducibility of replicates, and to compare different datasets to identify potential correlations. fCCAC applies 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. fCCAC represents a more sophisticated approach that complements Pearson correlation of genomic coverage.
Authors:
fCCAC_1.31.0.tar.gz
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fCCAC.pdf |fCCAC.html✨
fCCAC/json (API)
NEWS
| # Install 'fCCAC' in R: |
| install.packages('fCCAC', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:fCCAC-1.31.0(bioc 3.20)fCCAC-1.30.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:c9ac724771
Exports:fccacheatmapfCCACmultiplot
Dependencies:abindashaskpassBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitbit64bitopsBSgenomecirclizeclicliprclueclustercodetoolscolorspaceComplexHeatmapcpp11crayoncurldata.tableDelayedArraydeSolvedigestdoParallelfansifarverfdafdsFNNforeachformatRfutile.loggerfutile.optionsgenomationGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicRangesGetoptLongggplot2GlobalOptionsgluegridBasegtablehdrcdehmshttrimputeIRangesisobanditeratorsjsonlitekernlabKernSmoothkslabelinglambda.rlatticelifecyclelocfitmagrittrMASSMatrixMatrixGenericsmatrixStatsmclustmgcvmimemulticoolmunsellmvtnormnlmeopensslpcaPPpillarpkgconfigplotrixplyrpngpracmaprettyunitsprogressR6rainbowRColorBrewerRcppRCurlreadrreshape2restfulrRhtslibrjsonrlangRsamtoolsrtracklayerS4ArraysS4VectorsscalesseqPatternshapesnowSparseArraystringistringrSummarizedExperimentsystibbletidyselecttzdbUCSC.utilsutf8vctrsviridisLitevroomwithrXMLXVectoryamlzlibbioc
