DM                      Compute the distance-to-median statistic
buildSNNGraph           Build a nearest-neighbor graph
cleanSizeFactors        Sanitize size factors
clusterModularity       Compute the cluster-wise modularity
combineMarkers          Combine DE results to a marker set
combinePValues          Combine p-values
combineVar              Combine variance decompositions
computeSpikeFactors     Normalization with spike-in counts
computeSumFactors       Normalization by deconvolution
convertTo               Convert to other classes
correlatePairs          Test for significant correlations
cosineNorm              Cosine normalize
cyclone                 Cell cycle phase classification
decomposeVar            Decompose the gene-level variance
denoisePCA              Denoise expression with PCA
doubletCells            Detect doublet cells
doubletCluster          Detect doublet clusters
fastMNN                 Fast mutual nearest neighbors correction
findMarkers             Find marker genes
improvedCV2             Stably model the technical coefficient of
                        variation
makeTechTrend           Make a technical trend
mnnCorrect              Mutual nearest neighbors correction
multiBatchNorm          Per-batch scaling normalization
multiBatchPCA           Multi-batch PCA
multiBlockNorm          Per-block scaling normalization
multiBlockVar           Per-block variance statistics
overlapExprs            Overlap expression profiles
pairwiseTTests          Perform pairwise t-tests
pairwiseWilcox          Perform pairwise Wilcoxon rank sum tests
parallelPCA             Parallel analysis for PCA
quickCluster            Quick clustering of cells
sandbag                 Cell cycle phase training
scaledColRanks          Compute scaled column ranks
scran-gene-selection    Gene selection
simpleSumFactors        Quickly compute size factors via summation
technicalCV2            Model the technical coefficient of variation
testVar                 Test for significantly large variances
trendVar                Fit a variance trend
