NEWS

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Coralysis 0.99.10

• Main changes:

  • ReferenceMapping(): implementing the label.prune.cutoff parameter to prune low-confidence predicted cell labels based on the confidence probability scores

Coralysis 0.99.4

• Main changes:

  • RunParallelDivisiveICP(): adopting BiocParallel interface for parallelization

  • RunParallelDivisiveICP(): added the RNGseed parameter (set to 123 by default) to ensure reproducibility during parallelization via BiocParallel

Coralysis 0.99.0

First release 🎉

• Functions:
  • AggregateDataByBatch()
  • RunParallelDivisiveICP()
  • ReferenceMapping()
  • GetCellClusterProbability()
  • SummariseCellClusterProbability()
  • CellClusterProbabilityDistribution()
  • BinCellClusterProbability()
  • TabulateCellBinsByGroup()
  • CellBinsFeatureCorrelation()
  • FindClusterMarkers()
  • FindAllClusterMarkers()
  • MajorityVotingFeatures()
  • RunPCA()
  • RunTSNE()
  • RunUMAP()
  • PCAElbowPlot()
  • PlotDimRed()
  • PlotExpression()
  • PlotClusterTree()
  • VlnPlot()
  • HeatmapFeatures()
  • PrepareData()
  • GetFeatureCoefficients()
• Vignettes:
  • Integration
  • Reference-mapping
  • Cell States