Package: arrayMvout 1.65.0
arrayMvout: multivariate outlier detection for expression array QA
This package supports the application of diverse quality metrics to AffyBatch instances, summarizing these metrics via PCA, and then performing parametric outlier detection on the PCs to identify aberrant arrays with a fixed Type I error rate
Authors:
arrayMvout_1.65.0.tar.gz
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arrayMvout_1.65.0.tgz(r-4.4-any)arrayMvout_1.65.0.tgz(r-4.3-any)
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arrayMvout.pdf |arrayMvout.html✨
arrayMvout/json (API)
# Install 'arrayMvout' in R: |
install.packages('arrayMvout', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- afxsubDEG - Multivariate outlier detection based on PCA of QA statistics
- fig3map - Multivariate outlier detection based on PCA of QA statistics
- ilmQA - Multivariate outlier detection based on PCA of QA statistics
- itnQA - Multivariate outlier detection based on PCA of QA statistics
- maqcQA - Multivariate outlier detection based on PCA of QA statistics
- s12cDEG - Multivariate outlier detection based on PCA of QA statistics
- spikQA - Multivariate outlier detection based on PCA of QA statistics
On BioConductor:arrayMvout-1.63.0(bioc 3.20)arrayMvout-1.62.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
infrastructuremicroarrayqualitycontrol
Last updated 21 days agofrom:18d30256e2. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 30 2024 |
R-4.5-win | NOTE | Oct 30 2024 |
R-4.5-linux | NOTE | Oct 30 2024 |
R-4.4-win | NOTE | Oct 30 2024 |
R-4.4-mac | NOTE | Oct 30 2024 |
R-4.3-win | NOTE | Oct 30 2024 |
R-4.3-mac | NOTE | Oct 30 2024 |
Exports:ArrayOutliersplotshow
Dependencies:abindaffyaffyContamaffydataaffyioannotateAnnotationDbiaskpassbase64beanplotBHBiobaseBiocGenericsBiocIOBiocManagerBiocParallelBiostringsbitbit64bitopsblobbumphuntercachemclicliprclustercodetoolscolorspacecpp11crayoncurldata.tableDBIDelayedArrayDelayedMatrixStatsdigestdoRNGdplyrfansifarverfastmapFDb.InfiniumMethylation.hg19foreachformatRfutile.loggerfutile.optionsgenefiltergenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicFeaturesGenomicRangesGEOqueryggplot2gluegtableHDF5Arrayhmshttrhttr2illuminaioIRangesisobanditeratorsjsonliteKEGGRESTKernSmoothlabelinglambda.rlatticelifecyclelimmalocfitlumimagrittrMASSMatrixMatrixGenericsmatrixStatsmclustmdqcmemoisemethylumimgcvmimeminfimulttestmunsellnleqslvnlmenor1mixopensslorg.Hs.eg.dbparodypillarpkgconfigplogrplyrpngpreprocessCoreprettyunitsprogresspurrrquadprogR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppRCurlreadrrentrezreshapereshape2restfulrrhdf5rhdf5filtersRhdf5libRhtslibrjsonrlangrngtoolsRsamtoolsRSQLitertracklayerrvestS4ArraysS4VectorsscalesscrimeselectrsiggenessnowSparseArraysparseMatrixStatsstatmodstringistringrSummarizedExperimentsurvivalsystibbletidyrtidyselectTxDb.Hsapiens.UCSC.hg19.knownGenetzdbUCSC.utilsutf8vctrsviridisLitevroomwithrXMLxml2xtableXVectoryamlzlibbioc
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Multivariate outlier detection based on PCA of QA statistics | afxsubDEG afxsubQC ArrayOutliers fig3map ILM1 ilmQA itnQA maqcQA s12c s12cDEG s12cQC spikQA |
ArrayOutliers - wrapper for platform-specific multivariate outlier detection for expression arrays | ArrayOutliers,AffyBatch,numeric,ANY-method ArrayOutliers,ANY,missing,missing-method ArrayOutliers,data.frame,numeric,ANY-method ArrayOutliers,LumiBatch,numeric,ANY-method ArrayOutliers-methods |
Class "arrOutStruct" container for ArrayOutliers output | arrOutStruct-class plot,arrOutStruct,ANY-method show,arrOutStruct-method |