Package: doppelgangR 1.41.0
doppelgangR: Identify likely duplicate samples from genomic or meta-data
The main function is doppelgangR(), which takes as minimal input a list of ExpressionSet object, and searches all list pairs for duplicated samples. The search is based on the genomic data (exprs(eset)), phenotype/clinical data (pData(eset)), and "smoking guns" - supposedly unique identifiers found in pData(eset).
Authors:
doppelgangR_1.41.0.tar.gz
doppelgangR_1.41.0.zip(r-4.7)doppelgangR_1.41.0.zip(r-4.6)doppelgangR_1.41.0.zip(r-4.5)
doppelgangR_1.41.0.tgz(r-4.6-any)doppelgangR_1.41.0.tgz(r-4.5-any)
doppelgangR_1.41.0.tar.gz(r-4.7-any)doppelgangR_1.41.0.tar.gz(r-4.6-any)
doppelgangR_1.41.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
doppelgangR/json (API)
NEWS
| # Install 'doppelgangR' in R: |
| install.packages('doppelgangR', repos = c('https://waldronlab.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lwaldron/doppelgangr/issues
Pkgdown/docs site:https://waldronlab.github.io
On BioConductor:doppelgangR-1.41.0(bioc 3.24)doppelgangR-1.40.0(bioc 3.23)
immunooncologyrnaseqmicroarraygeneexpressionqualitycontrolbioconductor-package
Last updated from:94a7be768e. Checks:7 NOTE, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 369 | ||
| source / vignettes | OK | 342 | ||
| linux-release-x86_64 | NOTE | 346 | ||
| macos-release-arm64 | NOTE | 272 | ||
| macos-oldrel-arm64 | NOTE | 264 | ||
| windows-devel | NOTE | 596 | ||
| windows-release | NOTE | 642 | ||
| windows-oldrel | NOTE | 640 | ||
| wasm-release | OK | 151 |
Exports:colFindercorFinderdoppelgangRdstmst.mleoutlierFinderphenoDistphenoFinderplotprintpstqstrstshowsmokingGunFinderst.mlesummaryvectorHammingDistvectorWeightedDist
Dependencies:abindannotateAnnotationDbiaskpassBHBiobaseBiocGenericsBiocParallelBiostringsbitbit64blobcachemclicodetoolscpp11crayoncurlDBIDelayedArraydigestedgeRfastmapformatRfutile.loggerfutile.optionsgenefiltergenericsGenomicRangesgluehttrimputeIRangesjsonliteKEGGRESTlambda.rlatticelifecyclelimmalocfitMatrixMatrixGenericsmatrixStatsmemoisemgcvmimemnormtnlmeopensslpkgconfigpngR6rlangRSQLiteS4ArraysS4VectorsSeqinfosnowSparseArraystatmodSummarizedExperimentsurvivalsvasysvctrsXMLxtableXVector
