Package: ReducedExperiment 0.99.6

Jack Gisby

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:Jack Gisby [aut, cre], Michael Barnes [aut]

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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

5.18 score 3 stars 8 scripts 80 downloads 52 exports 191 dependencies

Last updated 1 months agofrom:d7ad3c7d79. Checks:1 OK, 4 NOTE, 1 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 15 2025
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R-4.5-macWARNINGFeb 15 2025
R-4.5-linuxNOTEFeb 15 2025
R-4.4-winNOTEFeb 15 2025
R-4.4-macNOTEFeb 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

ReducedExperiment

Rendered fromReducedExperiment.Rmdusingknitr::rmarkdownon Feb 15 2025.

Last update: 2025-01-09
Started: 2023-12-19

Readme and manuals

Help Manual

Help pageTopics
Command line completion for '$'.DollarNames.FactorisedExperiment .DollarNames.ModularExperiment .DollarNames.ReducedExperiment dollar_names
Extract and replace parts of ReducedExperiment objectsslice [,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 WGCNAassessSoftThreshold
Get and set module feature assignmentsassignments assignments,ModularExperiment-method assignments<- assignments<-,ModularExperiment-method
Runs linear models for components and sample-level dataassociateComponents
Calculate eigengenes for new datacalcEigengenes calcEigengenes,ModularExperiment,data.frame-method calcEigengenes,ModularExperiment,matrix-method calcEigengenes,ModularExperiment,SummarizedExperiment-method predict,ModularExperiment-method
Combine ReducedExperiment objects by columns or rowscbind,FactorisedExperiment-method cbind,ModularExperiment-method cbind,ReducedExperiment-method cbind_rbind rbind,FactorisedExperiment-method rbind,ModularExperiment-method rbind,ReducedExperiment-method
Get names of dimensionally-reduced componentscomponentNames 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 ModularExperimentdendrogram dendrogram,ModularExperiment-method dendrogram<- dendrogram<-,ModularExperiment-method
Get the dimensions of a Reducedexperiment objectdim,ReducedExperiment-method
Perform dimensionality reduction using Independent Component AnalysisestimateFactors
Estimate stability of factors as a function of the number of componentsestimateStability
FactorisedExperiment: A container for the results of factor analysis.FactorisedExperiment FactorisedExperiment FactorisedExperiment-class
Get feature alignments with factorsgetAlignedFeatures getAlignedFeatures,FactorisedExperiment-method
Get correlation of features with module eigengenesgetCentrality getCentrality,ModularExperiment-method
Get common factor featuresgetCommonFeatures
Gets alternative gene annotations from biomaRtgetGeneIDs getGeneIDs,ReducedExperiment-method
Get TERM2GENE dataframe from MSigDBgetMsigdbT2G
Apply dimensionality reduction using Weighted Gene Correlation Network AnalysisidentifyModules
Get and set loadingsloadings 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 statisticsmodulePreservation
Get feature namesfeatureNames 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 featuresindividual_dim nComponents nComponents,ReducedExperiment-method nFeatures nFeatures,ReducedExperiment-method nModules nModules,ModularExperiment-method nSamples nSamples,ReducedExperiment-method
Heatmap comparing commonality across factorsplotCommonFeatures
Plot a dendrogram stored in a ModularExperimentplotDendro plotDendro,ModularExperiment-method
Plot module preservation statisticsplotModulePreservation
Plot component stability as a function of the number of componentsplotStability
Project new data using pre-defined factorspredict,FactorisedExperiment-method projectData projectData,FactorisedExperiment,data.frame-method projectData,FactorisedExperiment,matrix-method projectData,FactorisedExperiment,SummarizedExperiment-method
Get and set reduced datareduced reduced,ReducedExperiment-method reduced<- reduced<-,ReducedExperiment-method
ReducedExperiment: A container for dimensionally-reduced representations.ReducedExperiment ReducedExperiment ReducedExperiment-class
Functional enrichment analyses for dimensionally-reduced datarunEnrich runEnrich,FactorisedExperiment-method runEnrich,ModularExperiment-method
Run standard or stabilised Independent Component AnalysisrunICA
Run WGCNA for a data matrixrunWGCNA
Get sample namescolnames<-,ReducedExperiment-method sampleNames sampleNames,ReducedExperiment-method sampleNames<- sampleNames<-,ReducedExperiment-method
Prints a summary of a ReducedExperiment objectshow show,ReducedExperiment-method
Get and setting the stability values for factorsstability stability,FactorisedExperiment-method stability<- stability<-,FactorisedExperiment-method