S4 Generic Functions for Bioinformatics


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Documentation for package ‘bioverbs’ version 0.2.13

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A B C D E F G H I J L M N P R S T U Z

-- A --

aggregateCellsToSamples Aggregate cells to samples
aggregateCols Aggregate columns
aggregateReplicates Aggregate technical replicates
aggregateRows Aggregate rows
alphaSummary Alpha level cutoff summary statistics
alphaThreshold Alpha threshold
alphaThreshold<- Alpha threshold
antiJoin Join operations
atomize Atomize
autopadZeros Autopad zeros

-- B --

barcodeRanksPerSample Barcode ranks per sample

-- C --

calculateMetrics Calculate quality control metrics
cell2sample Cell-to-sample mappings
cellCountsPerCluster Cell counts per cluster
cellTypesPerCluster Cell types per cluster
clusters Cluster identifiers
collapseToString Collapse to string
collectionNames Gene set collection names
collectionNames<- Gene set collection names
contrastName Contrast name
contrastName<- Contrast name
contrastNames Contrast names
contrastNames<- Contrast names
contrastSamples Samples corresponding to a differential expression contrast
convertGenesToSymbols Convert genes to symbols
convertSampleIDsToNames Convert sample identifiers to names
convertSymbolsToGenes Convert symbols to genes
convertTranscriptsToGenes Convert transcripts to genes
correlation Correlation
cpm Counts per million

-- D --

deg Differentially expressed genes
diffExp Differential expression
diffExpPerCluster Differential expression per cluster

-- E --

encode Encode using run-length encoding
enrichedGeneSets Enriched gene sets
export Export

-- F --

factorize Factorize
filterCells Filter cells
findMarkers Find cluster-specific marker genes
foldChangeToLogRatio Fold change to log ratio
fpkm Fragments per kilobase per million mapped fragments
fullJoin Join operations

-- G --

geneNames Gene names
geometricMean Geometric mean

-- H --

headtail Return the first and last parts of an object
humanize Humanize an R object

-- I --

innerJoin Join operations
interestingGroups Interesting groups
interestingGroups<- Interesting groups

-- J --

join Join operations

-- L --

leftJoin Join operations
lfcThreshold Log2 fold change threshold
lfcThreshold<- Log2 fold change threshold
logRatioToFoldChange Log ratio to fold change

-- M --

mapGenesToIDs Map genes (gene names) to gene identifiers
mapGenesToRownames Map genes to row names
mapGenesToSymbols Map genes (gene identifiers) to gene names (symbols)
markdown Markdown
mcolnames Metadata column names
mcolnames<- Metadata column names
melt Melt columns into key-value pairs
metrics Quality control metrics
metricsPerSample Quality control metrics per sample
mutate Mutate multiple columns
mutateAll Mutate multiple columns
mutateAt Mutate multiple columns
mutateIf Mutate multiple columns

-- N --

nonzeroRowsAndCols Subset object to keep only non-zero rows and columns

-- P --

plot5Prime3PrimeBias Plot 5' to 3' bias
plotBarcodeRanks Plot barcode ranks
plotCellCounts Plot cell counts
plotCellCountsPerCluster Plot cell counts per cluster
plotCells Plot cells
plotCellTypesPerCluster Plot cell types per cluster
plotCorrelationHeatmap Correlation heatmap
plotCountDensity Plot count density
plotCounts Plot counts
plotCountsCorrelation Plot counts correlation
plotCountsCorrelationHeatmap Plot counts correlation heatmap
plotCountsPerBiotype Plot counts per biotype
plotCountsPerBroadClass Plot counts per broad class definition
plotCountsPerCell Plot counts per cell
plotCountsPerFeature Plot counts per feature
plotCountsPerGene Plot counts per gene
plotCountsVsFeatures Plot count and feature correlation
plotDEGHeatmap Differentially expressed gene heatmap
plotDEGPCA Plot differentially expressed gene principal component analysis
plotDEGUpset UpSet plot of directional DEG intersections across contrasts
plotDots Dot plot
plotEnrichedGeneSets Plot enriched gene sets
plotEnrichedUpset UpSet plot of directional enriched pathway intersections across contrasts
plotExonicMappingRate Plot exonic mapping rate
plotFeature Plot feature
plotFeaturesDetected Plot features detected
plotFeaturesPerCell Plot features per cell
plotGenderMarkers Plot sexually dimorphic gender marker genes
plotGeneSaturation Plot gene detection saturation
plotHeatmap Heatmap
plotIntergenicMappingRate Plot intergenic mapping rate
plotIntronicMappingRate Plot intronic mapping rate
plotKnownMarkers Plot known markers
plotMappedReads Plot mapped reads
plotMappingRate Plot mapping rate
plotMarker Plot cell-type-specific gene markers
plotMeanSD Plot row standard deviations vs. row means
plotMitoRatio Plot mitochondrial transcript abundance
plotMitoVsCoding Plot mitochondrial vs. coding counts
plotNovelty Plot novelty score
plotPCACovariates Find correlation between principal components (PCs) and covariates
plotPCElbow Plot principal component elbow
plotQC Quality control
plotQuantileHeatmap Quantile heatmap
plotReadsPerCell Plot read counts per cell
plotReducedDim Plot reduced dimensions
plotRRNAMappingRate Plot ribosomal RNA (rRNA) mapping rate
plotSums Plot row or column sums
plotTopMarkers Plot top markers
plotTotalCounts Plot total read counts
plotTotalReads Plot total reads
plotTSNE t-SNE plot
plotUMAP UMAP plot
plotUpset UpSet plot
plotViolin Violin plot
plotVolcano Volcano plot
plotZerosVsDepth Plot percentage of zeros vs. library depth
pseudobulk Pseudobulk

-- R --

rankedList Ranked list
relativeLogExpression Relative log expression
removeNA Remove rows and columns containing only NA values
results Results
resultsMatrix Results matrix
resultsNames Results names
resultsNames<- Results names
resultsTables Results tables
rightJoin Join operations

-- S --

sampleData Sample data
sampleData<- Sample data
sanitizeNA Sanitize NA values
sanitizePercent Sanitize percentage
select Select multiple columns
selectIf Select multiple columns
selectSamples Select samples
semiJoin Join operations
stripTranscriptVersions Strip transcript versions
subsetPerSample Subset per sample

-- T --

tmm Trimmed mean of M-values
topCellsPerSample Top cells per sample
topMarkers Top markers
topTables Top tables
tpm Transcripts per million
transmuteAt Mutate multiple columns
transmuteIf Mutate multiple columns

-- U --

uniteInterestingGroups Unite interesting groups into a single column

-- Z --

zerosVsDepth Percentage of zeros vs. library depth