Package: pcaExplorer 3.1.1
pcaExplorer: Interactive Visualization of RNA-seq Data Using a Principal Components Approach
This package provides functionality for interactive visualization of RNA-seq datasets based on Principal Components Analysis. The methods provided allow for quick information extraction and effective data exploration. A Shiny application encapsulates the whole analysis.
Authors:
pcaExplorer_3.1.1.tar.gz
pcaExplorer_3.1.0.zip(r-4.5)pcaExplorer_3.1.0.zip(r-4.4)pcaExplorer_2.99.1.zip(r-4.3)
pcaExplorer_3.1.1.tgz(r-4.4-any)pcaExplorer_2.99.1.tgz(r-4.3-any)
pcaExplorer_3.1.1.tar.gz(r-4.5-noble)pcaExplorer_3.1.1.tar.gz(r-4.4-noble)
pcaExplorer_3.1.1.tgz(r-4.4-emscripten)pcaExplorer_2.99.1.tgz(r-4.3-emscripten)
pcaExplorer.pdf |pcaExplorer.html✨
pcaExplorer/json (API)
NEWS
# Install 'pcaExplorer' in R: |
install.packages('pcaExplorer', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/federicomarini/pcaexplorer/issues
Pkgdown:https://federicomarini.github.io
On BioConductor:pcaExplorer-3.1.0(bioc 3.21)pcaExplorer-3.0.0(bioc 3.20)
immunooncologyvisualizationrnaseqdimensionreductionprincipalcomponentqualitycontrolguireportwritingshinyappsbioconductorprincipal-componentsreproducible-researchrna-seq-analysisrna-seq-datashinytranscriptomeuser-friendly
Last updated 3 days agofrom:11c744f314. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 20 2024 |
R-4.5-win | NOTE | Dec 17 2024 |
R-4.5-linux | NOTE | Dec 20 2024 |
R-4.4-win | NOTE | Dec 17 2024 |
R-4.4-mac | NOTE | Dec 20 2024 |
R-4.3-win | NOTE | Oct 26 2024 |
R-4.3-mac | NOTE | Oct 26 2024 |
Exports:correlatePCsdistro_exprgeneprofilergenespcaget_annotationget_annotation_orgdbhi_loadingslimmaquickpca2gomakeExampleDESeqDataSet_multifacpair_corrpca2gopcaExplorerpcaplotpcaplot3dpcascreeplotPCcorrstopGOtable
Dependencies:abindannotateAnnotationDbiAnnotationForgeapeaplotaskpassassertthatbase64encBHBiasedUrnBiobaseBiocFileCacheBiocGenericsBiocIOBiocManagerBiocParallelbiomaRtBiostringsbitbit64bitopsblobbslibcacachemcallrCategorycliclusterclusterProfilercodetoolscolorspacecommonmarkcowplotcpp11crayoncrosstalkcurldata.tableDBIdbplyrDelayedArraydendextendDESeq2digestdoParallelDOSEdplyrDTeggenrichplotevaluatefansifarverfastmapfastmatchfgseafilelockfontawesomeforeachformatRfsfutile.loggerfutile.optionsgclusgenefiltergeneLenDataBasegenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicFeaturesGenomicRangesggforceggfunggnewscaleggplot2ggplotifyggrepelggtangleggtreeglueGO.dbGOSemSimgoseqGOstatsgraphgridBasegridExtragridGraphicsGSEABasegsongtableheatmaplyhighrhmshtmltoolshtmlwidgetshttpuvhttrhttr2igraphIRangesisobanditeratorsjquerylibjsonliteKEGGRESTknitrlabelinglambda.rlaterlatticelazyevallifecyclelimmalocfitmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimemosdefmunsellnlmeNMFopensslpatchworkpermutepheatmappillarpkgconfigplogrplotlyplyrpngpolyclipprettyunitsprocessxprogresspromisespspurrrqapqvalueR.methodsS3R.ooR.utilsR6rappdirsRBGLRColorBrewerRcppRcppArmadilloRcppEigenRCurlregistryreshape2restfulrRgraphvizRhtslibrjsonrlangrmarkdownrngtoolsRsamtoolsRSQLitertracklayerS4ArraysS4VectorssassscalesscatterpieseriationshinyshinyAceshinyBSshinydashboardsnowsourcetoolsSparseArraySparseMstatmodstringistringrSummarizedExperimentsurvivalsyssystemfontsthreejstibbletidyrtidyselecttidytreetinytextopGOtreeioTSPtweenrtxdbmakerUCSC.utilsutf8vctrsveganviridisviridisLitewebshotwithrxfunXMLxml2xtableXVectoryamlyulab.utilszlibbioc