computeSpikeFactors | Normalization with spike-in counts |
computeSpikeFactors-method | Normalization with spike-in counts |
computeSumFactors | Normalization by deconvolution |
computeSumFactors-method | Normalization by deconvolution |
convertTo | Convert to other classes |
convertTo-method | Convert to other classes |
correlateNull | Test for significant correlations |
correlatePairs | Test for significant correlations |
correlatePairs-method | Test for significant correlations |
cyclone | Cell cycle phase classification |
cyclone-method | Cell cycle phase classification |
decomposeVar | Decompose the gene-level variance |
decomposeVar-method | Decompose the gene-level variance |
DM | Compute the distance-to-median statistic |
isSpike | Construct the spike-in matrix |
isSpike-method | Construct the spike-in matrix |
isSpike<- | Construct the spike-in matrix |
isSpike<--method | Construct the spike-in matrix |
quickCluster | Quick clustering of cells |
quickCluster-method | Quick clustering of cells |
sandbag | Cell cycle phase training |
sandbag-method | Cell cycle phase training |
selectorPlot | Construct a selector plot via Shiny |
spikes | Construct the spike-in matrix |
spikes-method | Construct the spike-in matrix |
technicalCV2 | Model the technical coefficient of variation |
technicalCV2-method | Model the technical coefficient of variation |
testVar | Test for significantly large variances |
trendVar | Fit a variance trend |
trendVar-method | Fit a variance trend |