DM                      Compute the distance-to-median statistic
buildSNNGraph           Build a nearest-neighbor graph
clusterModularity       Compute the cluster-wise modularity
combineVar              Combine variance decompositions
computeSpikeFactors     Normalization with spike-in counts
computeSumFactors       Normalization by deconvolution
convertTo               Convert to other classes
correlatePairs          Test for significant correlations
cyclone                 Cell cycle phase classification
decomposeVar            Decompose the gene-level variance
denoisePCA              Denoise expression with PCA
exploreData             Shiny app for explorative data analysis
findMarkers             Find marker genes
improvedCV2             Stably model the technical coefficient of
                        variation
makeTechTrend           Make a technical trend
mnnCorrect              Mutual nearest neighbors correction
multiBlockVar           Per-block variance statistics
overlapExprs            Overlap expression profiles
parallelPCA             Parallel analysis for PCA
quickCluster            Quick clustering of cells
sandbag                 Cell cycle phase training
selectorPlot            Construct a selector plot via Shiny
technicalCV2            Model the technical coefficient of variation
testVar                 Test for significantly large variances
trendVar                Fit a variance trend
