Package: ReducedExperiment 0.99.6
ReducedExperiment: Containers and tools for dimensionally-reduced -omics representations
Provides SummarizedExperiment-like containers for storing and manipulating dimensionally-reduced assay data. The ReducedExperiment classes allow users to simultaneously manipulate their original dataset and their decomposed data, in addition to other method-specific outputs like feature loadings. Implements utilities and specialised classes for the application of stabilised independent component analysis (sICA) and weighted gene correlation network analysis (WGCNA).
Authors:
ReducedExperiment_0.99.6.tar.gz
ReducedExperiment_0.99.6.zip(r-4.5)ReducedExperiment_0.99.6.zip(r-4.4)
ReducedExperiment_0.99.6.tgz(r-4.5-any)ReducedExperiment_0.99.6.tgz(r-4.4-any)
ReducedExperiment_0.99.6.tar.gz(r-4.5-noble)ReducedExperiment_0.99.6.tar.gz(r-4.4-noble)
ReducedExperiment_0.99.6.tgz(r-4.4-emscripten)
ReducedExperiment.pdf |ReducedExperiment.html✨
ReducedExperiment/json (API)
NEWS
# Install 'ReducedExperiment' in R: |
install.packages('ReducedExperiment', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jackgisby/reducedexperiment/issues
On BioConductor:ReducedExperiment-0.99.6(bioc 3.21)
geneexpressioninfrastructuredatarepresentationsoftwaredimensionreductionnetworkbioconductor-packagebioinformaticsdimensionality-reduction
Last updated 1 months agofrom:d7ad3c7d79. Checks:1 OK, 4 NOTE, 1 WARNING. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Feb 15 2025 |
R-4.5-win | NOTE | Feb 15 2025 |
R-4.5-mac | WARNING | Feb 15 2025 |
R-4.5-linux | NOTE | Feb 15 2025 |
R-4.4-win | NOTE | Feb 15 2025 |
R-4.4-mac | NOTE | Feb 15 2025 |
Exports:assessSoftThresholdassignmentsassignments<-associateComponentscalcEigengenescbindcolnames<-componentNamescomponentNames<-dendrogramdendrogram<-estimateFactorsestimateStabilityFactorisedExperimentfeatureNamesfeatureNames<-getAlignedFeaturesgetCentralitygetCommonFeaturesgetGeneIDsgetMsigdbT2GidentifyModulesloadingsloadings<-ModularExperimentmoduleNamesmoduleNames<-modulePreservationnComponentsnFeaturesnModulesnSamplesplotCommonFeaturesplotDendroplotModulePreservationplotStabilitypredictprojectDatarbindreducedreduced<-ReducedExperimentrownames<-ROWNAMES<-runEnrichrunICArunWGCNAsampleNamessampleNames<-showstabilitystability<-
Dependencies:abindAnnotationDbiapeaplotaskpassbabelgenebackportsbase64encBHBiobaseBiocFileCacheBiocGenericsBiocParallelbiomaRtBiostringsbitbit64blobbootbroombslibcachemcarcarDatacheckmatecliclusterclusterProfilercodetoolscolorspacecowplotcpp11crayoncurldata.tableDBIdbplyrDelayedArrayDerivdigestdoBydoParallelDOSEdplyrdynamicTreeCutenrichplotevaluatefansifarverfastclusterfastmapfastmatchfgseafilelockfontawesomeforeachforeignformatRFormulafsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggforceggfunggnewscaleggplot2ggplotifyggrepelggtangleggtreeglueGO.dbGOSemSimgridExtragridGraphicsgsongtablehighrHmischmshtmlTablehtmltoolshtmlwidgetshttrhttr2icaigraphimputeIRangesisobanditeratorsjquerylibjsonliteKEGGRESTknitrlabelinglambda.rlatticelazyevallifecyclelme4lmerTestmagrittrMASSMatrixMatrixGenericsMatrixModelsmatrixStatsmemoisemgcvmicrobenchmarkmimeminqamodelrmomentsmsigdbrmunsellnlmenloptrnnetnumDerivopensslpatchworkpbkrtestpheatmappillarpkgconfigplogrplyrpngpolyclippreprocessCoreprettyunitsprogresspurrrquantregqvalueR.methodsS3R.ooR.utilsR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasreshape2rlangrmarkdownrpartRSQLiterstudioapiS4ArraysS4VectorssassscalesscatterpiesnowSparseArraySparseMstringistringrSummarizedExperimentsurvivalsyssystemfontstibbletidyrtidyselecttidytreetinytextreeiotweenrUCSC.utilsutf8vctrsviridisviridisLiteWGCNAwithrxfunxml2XVectoryamlyulab.utils
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Command line completion for '$' | .DollarNames.FactorisedExperiment .DollarNames.ModularExperiment .DollarNames.ReducedExperiment dollar_names |
Extract and replace parts of ReducedExperiment objects | slice [,FactorisedExperiment,ANY,ANY,ANY-method [,ModularExperiment,ANY,ANY,ANY-method [,ReducedExperiment,ANY,ANY,ANY-method [<-,FactorisedExperiment,ANY,ANY,FactorisedExperiment-method [<-,ModularExperiment,ANY,ANY,ModularExperiment-method [<-,ReducedExperiment,ANY,ANY,ReducedExperiment-method |
Assess soft thresholding power for WGCNA | assessSoftThreshold |
Get and set module feature assignments | assignments assignments,ModularExperiment-method assignments<- assignments<-,ModularExperiment-method |
Runs linear models for components and sample-level data | associateComponents |
Calculate eigengenes for new data | calcEigengenes calcEigengenes,ModularExperiment,data.frame-method calcEigengenes,ModularExperiment,matrix-method calcEigengenes,ModularExperiment,SummarizedExperiment-method predict,ModularExperiment-method |
Combine ReducedExperiment objects by columns or rows | cbind,FactorisedExperiment-method cbind,ModularExperiment-method cbind,ReducedExperiment-method cbind_rbind rbind,FactorisedExperiment-method rbind,ModularExperiment-method rbind,ReducedExperiment-method |
Get names of dimensionally-reduced components | componentNames componentNames,ReducedExperiment-method componentNames<- componentNames<-,FactorisedExperiment-method componentNames<-,ModularExperiment-method componentNames<-,ReducedExperiment-method moduleNames moduleNames,ModularExperiment-method moduleNames<- moduleNames<-,ModularExperiment-method |
Get the dendrogram stored in a ModularExperiment | dendrogram dendrogram,ModularExperiment-method dendrogram<- dendrogram<-,ModularExperiment-method |
Get the dimensions of a Reducedexperiment object | dim,ReducedExperiment-method |
Perform dimensionality reduction using Independent Component Analysis | estimateFactors |
Estimate stability of factors as a function of the number of components | estimateStability |
FactorisedExperiment: A container for the results of factor analysis | .FactorisedExperiment FactorisedExperiment FactorisedExperiment-class |
Get feature alignments with factors | getAlignedFeatures getAlignedFeatures,FactorisedExperiment-method |
Get correlation of features with module eigengenes | getCentrality getCentrality,ModularExperiment-method |
Get common factor features | getCommonFeatures |
Gets alternative gene annotations from biomaRt | getGeneIDs getGeneIDs,ReducedExperiment-method |
Get TERM2GENE dataframe from MSigDB | getMsigdbT2G |
Apply dimensionality reduction using Weighted Gene Correlation Network Analysis | identifyModules |
Get and set loadings | loadings loadings,FactorisedExperiment-method loadings,ModularExperiment-method loadings<- loadings<-,FactorisedExperiment-method loadings<-,ModularExperiment-method |
ModularExperiment: A container for the results of module analysis | .ModularExperiment ModularExperiment ModularExperiment-class |
Get module preservation statistics | modulePreservation |
Get feature names | featureNames featureNames,ReducedExperiment-method featureNames<- featureNames<-,FactorisedExperiment-method featureNames<-,ModularExperiment-method featureNames<-,ReducedExperiment-method names<-,FactorisedExperiment-method names<-,ModularExperiment-method names<-,ReducedExperiment-method rownames<-,FactorisedExperiment-method rownames<-,ModularExperiment-method ROWNAMES<-,ReducedExperiment-method rownames<-,ReducedExperiment-method |
Prints individual lengths of samples, components and features | individual_dim nComponents nComponents,ReducedExperiment-method nFeatures nFeatures,ReducedExperiment-method nModules nModules,ModularExperiment-method nSamples nSamples,ReducedExperiment-method |
Heatmap comparing commonality across factors | plotCommonFeatures |
Plot a dendrogram stored in a ModularExperiment | plotDendro plotDendro,ModularExperiment-method |
Plot module preservation statistics | plotModulePreservation |
Plot component stability as a function of the number of components | plotStability |
Project new data using pre-defined factors | predict,FactorisedExperiment-method projectData projectData,FactorisedExperiment,data.frame-method projectData,FactorisedExperiment,matrix-method projectData,FactorisedExperiment,SummarizedExperiment-method |
Get and set reduced data | reduced reduced,ReducedExperiment-method reduced<- reduced<-,ReducedExperiment-method |
ReducedExperiment: A container for dimensionally-reduced representations | .ReducedExperiment ReducedExperiment ReducedExperiment-class |
Functional enrichment analyses for dimensionally-reduced data | runEnrich runEnrich,FactorisedExperiment-method runEnrich,ModularExperiment-method |
Run standard or stabilised Independent Component Analysis | runICA |
Run WGCNA for a data matrix | runWGCNA |
Get sample names | colnames<-,ReducedExperiment-method sampleNames sampleNames,ReducedExperiment-method sampleNames<- sampleNames<-,ReducedExperiment-method |
Prints a summary of a ReducedExperiment object | show show,ReducedExperiment-method |
Get and setting the stability values for factors | stability stability,FactorisedExperiment-method stability<- stability<-,FactorisedExperiment-method |