Main changes:
ReferenceMapping(): implementing the label.prune.cutoff parameter to prune low-confidence predicted cell labels based on the confidence probability scoresMain changes:
RunParallelDivisiveICP(): adopting BiocParallel interface for parallelization
RunParallelDivisiveICP(): added the RNGseed parameter (set to 123 by default) to ensure reproducibility during parallelization via BiocParallel
First release 🎉
AggregateDataByBatch()RunParallelDivisiveICP()ReferenceMapping()GetCellClusterProbability()SummariseCellClusterProbability()CellClusterProbabilityDistribution()BinCellClusterProbability()TabulateCellBinsByGroup()CellBinsFeatureCorrelation()FindClusterMarkers()FindAllClusterMarkers()MajorityVotingFeatures()RunPCA()RunTSNE()RunUMAP()PCAElbowPlot()PlotDimRed()PlotExpression()PlotClusterTree()VlnPlot()HeatmapFeatures()PrepareData()GetFeatureCoefficients()