Package: MMDiff2 1.41.0

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_1.41.0.tar.gz
MMDiff2_1.41.0.zip(r-4.7)MMDiff2_1.41.0.zip(r-4.6)MMDiff2_1.41.0.zip(r-4.5)
MMDiff2_1.41.0.tgz(r-4.6-any)MMDiff2_1.41.0.tgz(r-4.5-any)
MMDiff2_1.41.0.tar.gz(r-4.7-any)MMDiff2_1.41.0.tar.gz(r-4.6-any)
MMDiff2_1.41.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MMDiff2/json (API)
| # Install 'MMDiff2' in R: |
| install.packages('MMDiff2', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- MMD - DBAmmd Object for Cfp1 example
On BioConductor:MMDiff2-1.41.0(bioc 3.24)MMDiff2-1.40.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
chipseqdifferentialpeakcallingsequencingsoftware
Last updated from:12f6051464. Checks:4 WARNING, 4 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | WARNING | 315 | ||
| linux-devel-x86_64 | NOTE | 499 | ||
| source / vignettes | OK | 412 | ||
| linux-release-x86_64 | NOTE | 495 | ||
| macos-release-arm64 | NOTE | 372 | ||
| macos-oldrel-arm64 | NOTE | 326 | ||
| windows-devel | WARNING | 420 | ||
| windows-release | WARNING | 383 | ||
| windows-oldrel | WARNING | 370 | ||
| wasm-release | OK | 213 |
Exports:compDistscompHistscompPvalsContrastCountsDBAmmdDistsestimateFragmentCentersGenomegetPeakReadsHistsmetaDatanumPeaksnumSamplesplotDistsplotDISTS4PeakplotPeakReadsRegionsreportResultsrunShinyMMDiff2SamplessetContrastsetRegions
Dependencies:abindaskpassbase64encBHBiobaseBiocBaseUtilsBiocGenericsBiocIOBiocParallelBiostringsbitopsBSgenomebslibcachemcigarilloclicodetoolscommonmarkcpp11crayoncurlDelayedArraydigestfarverfastmapfontawesomeformatRfsfutile.loggerfutile.optionsgenericsGenomicAlignmentsGenomicRangesggplot2gluegtablehtmltoolshttpuvhttrIRangesisobandjquerylibjsonlitelabelinglambda.rlaterlatticelifecyclelocfitmagrittrMatrixMatrixGenericsmatrixStatsmemoisemimeopensslotelpromisesR6rappdirsRColorBrewerRcppRCurlrestfulrRhtslibrjsonrlangRsamtoolsrtracklayerS4ArraysS4VectorsS7sassscalesSeqinfoshinysnowsourcetoolsSparseArraySummarizedExperimentsysvctrsviridisLitewithrXMLxtableXVectoryaml