Package: MMDiff2 1.35.0
Gabriele Schweikert
MMDiff2: Statistical Testing for ChIP-Seq data sets
This package detects statistically significant differences between read enrichment profiles in different ChIP-Seq samples. To take advantage of shape differences it uses Kernel methods (Maximum Mean Discrepancy, MMD).
Authors:
MMDiff2_1.35.0.tar.gz
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MMDiff2.pdf |MMDiff2.html✨
MMDiff2/json (API)
# Install 'MMDiff2' in R: |
install.packages('MMDiff2', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- Cfp1-Peaks - Peaks for Cfp1-data set
- MMD - DBAmmd Object for Cfp1 example
- mm9-Genes - Mm9-Genes
On BioConductor:MMDiff2-1.35.0(bioc 3.21)MMDiff2-1.34.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
chipseqdifferentialpeakcallingsequencingsoftware
Last updated 24 days agofrom:d7fad9d06a. Checks:OK: 1 NOTE: 3 WARNING: 3. Indexed: yes.
Target | Result | Date |
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Doc / Vignettes | OK | Nov 19 2024 |
R-4.5-win | WARNING | Nov 19 2024 |
R-4.5-linux | NOTE | Nov 19 2024 |
R-4.4-win | WARNING | Nov 19 2024 |
R-4.4-mac | NOTE | Nov 19 2024 |
R-4.3-win | WARNING | Nov 19 2024 |
R-4.3-mac | NOTE | Nov 19 2024 |
Exports:compDistscompHistscompPvalsContrastCountsDBAmmdDistsestimateFragmentCentersGenomegetPeakReadsHistsmetaDatanumPeaksnumSamplesplotDistsplotDISTS4PeakplotPeakReadsRegionsreportResultsrunShinyMMDiff2SamplessetContrastsetRegions
Dependencies:abindaskpassbase64encBHBiobaseBiocGenericsBiocIOBiocParallelBiostringsbitopsBSgenomebslibcachemclicodetoolscolorspacecommonmarkcpp11crayoncurlDelayedArraydigestfansifarverfastmapfontawesomeformatRfsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicRangesggplot2gluegtablehtmltoolshttpuvhttrIRangesisobandjquerylibjsonlitelabelinglambda.rlaterlatticelifecyclelocfitmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigpromisesR6rappdirsRColorBrewerRcppRCurlrestfulrRhtslibrjsonrlangRsamtoolsrtracklayerS4ArraysS4VectorssassscalesshinysnowsourcetoolsSparseArraySummarizedExperimentsystibbleUCSC.utilsutf8vctrsviridisLitewithrXMLxtableXVectoryamlzlibbioc