Differential discovery in high-dimensional cytometry via high-resolution clustering


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Documentation for package ‘diffcyt’ version 1.10.0

Help Pages

diffcyt-package Run 'diffcyt' pipeline
calcCounts Calculate cluster cell counts
calcMedians Calculate cluster medians
calcMediansByClusterMarker Calculate medians (by cluster and marker)
calcMediansBySampleMarker Calculate medians (by sample and marker)
createContrast Create contrast matrix
createDesignMatrix Create design matrix
createFormula Create model formula and corresponding data frame of variables
diffcyt Run 'diffcyt' pipeline
generateClusters Generate clusters
plotHeatmap Plot heatmap
prepareData Prepare data
testDA_edgeR Test for differential abundance: method 'diffcyt-DA-edgeR'
testDA_GLMM Test for differential abundance: method 'diffcyt-DA-GLMM'
testDA_voom Test for differential abundance: method 'diffcyt-DA-voom'
testDS_limma Test for differential states: method 'diffcyt-DS-limma'
testDS_LMM Test for differential states: method 'diffcyt-DS-LMM'
topClusters Alias for 'topTable' (deprecated)
topTable Show table of results for top clusters or cluster-marker combinations
transformData Transform data