Man pages for vertesy/Seurat.utils
Seurat.utils - utility functions for Seurat

Add.DE.combined.scoreAdd.DE.combined.score
addGeneClassFractionsAdd Meta Data for Gene-Class Fractions
addMetaDataSafeAdd Metadata to a Seurat object, safely with Checks
addMetaFractionaddMetaFraction
add.meta.tagsadd.meta.tags
AddNewAnnotationAddNewAnnotation
addToMiscOrToolsSlotAdd to Misc or Tools Slot
addTranslatedMetadataAdd Translated Metadata to a Seurat Object
AreTheseCellNamesTheSameAreTheseCellNamesTheSame
AutoLabel.KnownMarkersAutoLabel.KnownMarkers
AutoLabelTop.logFCAutoLabelTop.logFC
AutoNumber.by.PrinCurveAutoNumber.by.PrinCurve
AutoNumber.by.UMAPRelabel Cluster Numbers Along a UMAP (or tSNE) Axis
BackupReductionBackup Dimensionality Reduction Data
calc.cluster.averagescalc.cluster.averages
Calc.Cor.SeuratCalc.Cor.Seurat
calc.q99.Expression.and.set.all.genescalc.q99.Expression.and.set.all.genes
calculateAverageMetaDataCalculate Average Metadata for Seurat Object
CalculateFractionInTromeCalculate Fraction of Genes in Transcriptome
calculatePercentageMatchCalculate the Percentage of Matches per Category
check.genesCheck if Gene Names exist in Seurat Object or HGNC Database
clip10XcellnameClip Suffixes from 10X Cell Names
clUMAPclUMAP - Quick Visualization of Clustering Results with UMAP...
compareVarFeaturesAndRanksCompare variable features and their ranks in two Seurat...
Convert10XfoldersConvert10Xfolders
Convert10Xfolders.oldConvert10Xfolders.old
Convert10Xfolders_v1Convert10Xfolders - legacy version
ConvertDropSeqfoldersConvertDropSeqfolders
copyCompleteToolsSlotsCopy Tools Slots from Multiple Seurat Objects
copyMiscElementsCopy Specified Elements from One Seurat Object's @misc to...
countEnrichedDepletedGenesCount Enriched and Depleted Genes
countRelevantEnrichmentsCount Relevant Enrichments
create.metadata.vectorCreate a Metadata Vector
Create.MiscSlotCreate.MiscSlot
create_scCombinedMetaCreate Single-Cell Metadata Object for a collection of Seurat...
DimPlot.ClusterNamesDimPlot.ClusterNames
DiscretePaletteSafeSafely generate a Discrete color palette.
dot-adjustLayoutAdjust Layout Parameters for multi* plotting fucntions
dot-Annotate4Plotly3D.Annotate4Plotly3D
dot-check_and_renameCheck and Rename Gene Names in Seurat Assay Object
dot-checkListElementsCheck List Elements
dot-estMinimumFCEstimate Minimum Log2-Based Fold Change
dot-FindCommandInObjectFind Command in Seurat Object by Partial Match
dot-getNrCoresGet the number of CPUs to use for CBE processing
dot-getNrPCsGet number of principal components
dot-getNrScaledFeaturesGet number of scaled features
dot-getRegressionVariablesForScaleDataParse regression variables for name tagging
dot-metaColnamesExtract meta.data Column Names Matching a Pattern
dot-parseBasicObjStatsParse basic obj stats
dot-parseKeyParamsParse key parameters from an object and format as a string
dot-replace_by_most_frequent_categoriesFind Best Match: Replace Categories by the Most Frequent...
dot-saveRDS.compress.in.BG.saveRDS.compress.in.BG
downsampleListSeuObjsNCellsDownsample a List of Seurat Objects to a Specific Number of...
downsampleListSeuObjsPercentDownsample a List of Seurat Objects to a Fraction
downsampleSeuObjdownsampleSeuObj
downsampleSeuObj.and.SavedownsampleSeuObj.and.Save
downsampleSeuObjByIdentAndMaxcellsSample max number of Cells From each identity in a Seurat...
dropLevelsSeuratdropLevelsSeurat
filterCodingGenesFilter Coding Gene Symbols (or any matching input Patterns)
filterExpressedGenesFilter and Sort Gene Expression List Based on Specified Genes...
filterGoEnrichmentFilter GO Enrichment Results
find10XoutputFoldersFind 'Outs' Subdirectories in Specified Subdirectories
FindCorrelatedGenesFindCorrelatedGenes
find_prefix_in_cell_IDsCheck Prefix in Seurat Object Cell IDs
fix.orig.identfix.orig.ident
fixZeroIndexing.seuratFix Zero Indexing in Seurat Clustering
FlipReductionCoordinatesFlip Reduction Coordinates
gene.name.checkCheck Gene Names in Seurat Object
getCellIDs.from.metagetCellIDs.from.meta
getClusterColorsRegenerate Cluster Colors from a Seurat Object
GetClusteringRunsGetClusteringRuns
getClusterNamesRetrieve Cluster Names
getDiscretePaletteSafely generate a discrete color palette (NA).
getDiscretePaletteObjGenerate a Discrete Color Palette for Seurat Clusters
get_levels_seuGet Unique Levels of a Seurat Object Ident Slot
getMedianMetric.lsObjgetMedianMetric.lsObj
getMetaColnamesGet Metadata Column Names Matching Pattern
getMetadataColumngetMetadataColumn
GetMostVarGenesRetrieve the Top Variable Genes from a Seurat Object
GetNamedClusteringRunsGetNamedClusteringRuns
GetNumberOfClustersGetNumberOfClusters
GetOrderedClusteringRunsGetOrderedClusteringRuns
GetTopMarkersGet Top Differential Expression Markers from DGEA Results
GetTopMarkersDFGet Top Differential Expression Genes Data Frame
GetUpdateStatsGene Symbol Update Statistics
gg_color_hueReproduce the ggplot2 default color palette
heatmap_calc_clust_medianCalculate and plot heatmap of cluster medians
HGNC.EnforceUniqueEnforce Unique HGNC Gene Symbols
IntersectGeneLsWithObjectIntersect Genes with Seurat Object
isave.imageisave.image
isave.RDSisave.RDS
jJaccardIndexBinaryjJaccardIndexBinary
jJaccardIndexVecjJaccardIndexVec
jPairwiseJaccardIndexjPairwiseJaccardIndex
jPairwiseJaccardIndexListjPairwiseJaccardIndexList
jPresenceMatrixjPresenceMatrix
load10Xv3Load 10X Genomics Version 3 Data
LoadAllSeuratsLoadAllSeurats
make10XcellnameAdd Suffix to Cell Names (e.g. lane suffix: _1)
matchBestIdentityMatch and Translate Best Identity
merge_seurat_metadataMerge Seurat Metadata
metaColnameExistsCheck if a Column Exists in the Metadata of an S4 Object
multi_clUMAP.A4Plot multiple categorical variables in combined UMAPs
multiFeaturePlot.A4multiFeaturePlot.A4
multiSingleClusterHighlightPlots.A4Generate Cluster Highlight UMAPs compiled into A4 pages
panelCorPearsonDisplay Correlation Values in Pairs Plot
parallel.computing.by.futureparallel.computing.by.future
PctCellsAboveXPercentage of Cells Above Threshold
PctCellsExpressingGenesPctCellsExpressingGenes
PercentInTranscriptomeGene Expression as Fraction of Total UMI Counts
Plot3D.ListOfCategoriesPlot3D.ListOfCategories
Plot3D.ListOfGenesPlot3D.ListOfGenes
plot3D.umapplot3D.umap
plot3D.umap.geneplot3D.umap.gene
plotAndSaveHeatmapsPlot and Save Heatmaps from Metadata Calculation Results
plotClustSizeDistrCluster Size Distribution Plot (Barplot or Histogram)
plot.expression.rank.q90plot.expression.rank.q90
PlotFiltersPlot filtering thresholds and distributions
plot.Gene.Cor.HeatmapPlot Gene Correlation Heatmap
plotGeneExpressionInBackgroundHistHistogram All Genes' Expression Level and a Highlighted Gene
plotGeneExprHistAcrossCellsHistogram of Gene / Geneset Aggregate Expression Across Cells
plotMetadataCategPiePlot Metadata Category Pie Chart
plotMetadataCorHeatmapPlot Metadata Correlation Heatmap
plotMetadataMedianFractionBarplotplotMetadataMedianFractionBarplot
plotQUMAPsInAFolderPlot qUMAPs for Genes in a Folder
plotTheSoupplotTheSoup
PlotTopGenesPlot Top Genes
PlotTopGenesPerClusterPlot Top N Differentially Expressed Genes Per Cluster
plot.UMAP.tSNE.sidebysideplot.UMAP.tSNE.sidebyside
PlotUpdateStatsPlotUpdateStats
PrctCellExpringGeneProportion of Cells Expressing Given Genes
prefix_cells_seuratAdd Prefixes to Cell Names in Seurat Objects
processSeuratObjectProcess Seurat Objects in Parallel
qClusteringUMAPSQuick Clustering UMAPs on A4 Page
qFeatureScatterScatter Plot of Two Features in Seurat Object
qGeneExpressionUMAPSQuickly Draw 4 Gene Expression UMAPs on an A4 Page
qMarkerCheck.BrainOrgQuickly Plot Key Markers in Brain Organoids
qQC.plots.BrainOrgQuickly Plot Key QC Markers in Brain Organoids
qqSaveGridA4qqSaveGridA4
qsave.imageSave workspace - qsave.image
qSeuViolinCreate a Violin Plot for a Seurat Object Feature and save the...
qUMAPQuick UMAP Visualization of Gene Expression and automatically...
read10xLoad 10X Genomics Data as Seurat Object
recall.all.genesRecall all.genes global variable from a Seurat object
recall.genes.lsrecall.genes.ls
recall.meta.tags.n.datasetsrecall.meta.tags.n.datasets
recall.parametersrecall.parameters
RecallReductionRecall Dimensionality Reduction from backup slot
regress_out_and_recalculate_seuratRegress Out and Recalculate Seurat
RelabelSmallCategoriesRelabel Small Categories / Clusters
removeCellsByUmapRemove Cells by Dimension Reduction
removeClustersAndDropLevelsRemove Clusters and Drop Levels from a List of Seurat Objects
RemoveGenesSeuratRemove Specific Genes from a Seurat Object
removeLayersByPatternRemove Layers from Seurat Object by Pattern
removeResidualSmallClustersRemove Residual Small Clusters from a Seurat Object
removeScaleDataRemove Scale Data from Seurat Objects
renameAzimuthColumnsRename Azimuth Columns in Seurat Object
RenameClusteringRenameClustering
RenameGenesSeuratRename Gene Symbols in a Seurat Object
renameSmallCategoriesRename Small Categories in Seurat Object Metadata
runDGEARun Differential Gene Expression Analysis (DGEA)
sampleNpcSample N % of a dataframe (obj@metadata), and return rownames...
save2plots.A4Save Two Plots on One A4 Page
save4plots.A4Save Four Plots on One A4 Page
saveLsSeuratMetadataSave Metadata from a List of Seurat Objects
save.parametersSave Parameters to Seurat Object
SavePlotlyAsHtmlSavePlotlyAsHtml
scBarplot.CellFractionsGenerate Barplot of Cell Fractions
scBarplot.CellsPerClusterBarplot of Fraction of Cells per Cluster
scBarplot.CellsPerObjectBarplot of Cells Per Seurat Object
scBarplotEnrichrBarplot GO Enrichment Results by enrichplot
scBarplot.FractionAboveThrBarplot the Fraction of Cells Above Threshold per Cluster
scBarplot.FractionBelowThrFraction of Cells Below Threshold per Cluster
scBarplotStackedMetaCateg_ListStacked Barplot of Metadata Categories for List of Seurat...
scCalcPCAVarExplainedCalculate the percent of variation explained by individual...
scEnhancedVolcanoscEnhancedVolcano
scGOEnrichmentPerform GO Enrichment Analysis
scPieClusterDistributionscPieClusterDistribution
scPlotPCAvarExplainedPlot the percent of variation explained by individual PC's
SelectHighlyExpressedGenesq99Intersect Genes with the List of Noticeably Expressed Genes
set.mmset.mm
SetupReductionsNtoKdimensionsSetupReductionsNtoKdimensions
seu.add.meta.from.tableseu.add.meta.from.table
seu.Make.Cl.Label.per.cellCreate Cluster Labels for Each Cell
seu.map.and.add.new.ident.to.metaseu.map.and.add.new.ident.to.meta
SeuratColorVectorRegenerate Color Scheme for Clusters in Seurat Object as a...
seu.RemoveMetadataseu.RemoveMetadata
shorten_clustering_namesShorten Clustering Names
showMiscSlotsDisplay Slots in the @misc of an Seurat Object
showToolsSlotsDisplay Slots in the @tools of an Seurat Object
SmallestNonAboveXSmallestNonAboveX
sparse.corCalculate Sparse Correlation Matrix
StoreAllMarkersStore All Differential Expression Markers
StoreTop25MarkersSave Top 25 Markers per Cluster
subsetSeuObjByIdentSubset a Seurat Object by Identity
suPlotVariableFeaturessuPlotVariableFeatures for Single Seurat Object
transferLabelsSeuratTransfer labels from a reference Seurat object to a query...
transferMetadataTransfer Multiple Metadata Columns Between Two Seurat Objects
umapHiLightSelHighlight Selected Clusters on UMAP
umapNamedClustersPlot and Save UMAP without legend
UpdateGenesSeuratUpdate Gene Symbols in a Seurat Object
UpdateSeuratObjectProperlyUpdate Seurat Object Properly, including Assays and DimReducs
whitelist.subset.ls.Seuratwhitelist.subset.ls.Seurat
writeCombinedMetadataToTsvFromLsObjCombine Metadata from a list of Seurat objects and Write to...
ww.calc_helperHelper to calculate Cell Expression Proportion for Gene
ww.check.quantile.cutoff.and.clip.outliersCheck Quantile Cutoff and Clip Outliers
ww.get.1st.Seur.elementGet the First Seurat Object from a List of Seurat Objects
xreadRead an R Object Using 'qs' Package for Fast Decompression
xsaveSave an R Object Using 'qs' Package for Fast Compressed...
vertesy/Seurat.utils documentation built on Dec. 4, 2024, 5:20 p.m.