Package: MMDiff2 1.41.1

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_1.41.1.tar.gz
MMDiff2_1.41.1.zip(r-4.7-any)MMDiff2_1.41.1.zip(r-4.6-any)MMDiff2_1.41.1.zip(r-4.5-any)
MMDiff2_1.41.1.tgz(r-4.6-any)MMDiff2_1.41.1.tgz(r-4.5-any)
MMDiff2_1.41.1.tar.gz(r-4.7-any)MMDiff2_1.41.1.tar.gz(r-4.6-any)
MMDiff2_1.41.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
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:765d9b16cd. Checks:4 WARNING, 4 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | WARNING | 251 | ||
| linux-devel | NOTE | 384 | ||
| source / vignettes | OK | 381 | ||
| linux-release | NOTE | 399 | ||
| macos-release | NOTE | 336 | ||
| macos-oldrel | NOTE | 200 | ||
| windows-devel | WARNING | 318 | ||
| windows-release | WARNING | 316 | ||
| windows-oldrel | WARNING | 323 | ||
| wasm-release | OK | 209 |
Exports:compDistscompHistscompPvalsContrastCountsDBAmmdDistsestimateFragmentCentersGenomegetPeakReadsHistsmetaDatanumPeaksnumSamplesplotDistsplotDISTS4PeakplotPeakReadsRegionsreportResultsrunShinyMMDiff2SamplessetContrastsetRegions
Dependencies:askpassbase64encBHBiobaseBiocBaseUtilsBiocGenericsBiocIOBiocParallelBiostringsbitopsBSgenomebslibcachemcigarilloclicodetoolscommonmarkcpp11crayoncurldigestfarverfastmapfontawesomeformatRfsfutile.loggerfutile.optionsgenericsGenomicAlignmentsGenomicRangesggplot2gluegtablehtmltoolshttpuvhttrIRangesisobandjquerylibjsonlitelabelinglambda.rlaterlatticelifecyclelocfitmagrittrmatrixStatsmemoisemimeopensslotelpromisesR6rappdirsRColorBrewerRcppRCurlrestfulrRhtslibrjsonrlangRsamtoolsrtracklayerS4VectorsS7sassscalesSeqinfoshinysnowsourcetoolssysvctrsviridisLitewithrXMLxtableXVectoryaml