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calc_acc()
- Calculate the accuracy (FDR, Power, F1 score) if truth is available
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calc_inc_rate()
- Calculate the inclusion rate
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calc_tau()
- Calculate the cutoff the mirror statistics
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dd()
- Wrapper for the naive double-dipping method
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ds()
- Data Splitting for Seurat object
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mds()
- Multiple data splitting
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mds1()
- Conduct multiple data splitting
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mds1_parallel()
- Conduct multiple data splitting in parallel
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mds2()
- Aggregate multiple data splitting results, and return a selection set
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myDiffTTest()
- Modified Seurat::DiffTTest by extending the output with statistics in addition to p-values
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myFindMarkers()
- Gene expression markers of identity classes
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myGLMDETest()
- Modified Seurat::GLMDETest by extending the output with statistics in addition to p-values
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myWilcoxDETest()
- Modified Seurat::WilcoxDETest by extending the output with statistics in addition to p-values
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perform_clustering()
- Perform Clustering on a SingleCellExperiment object
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rankSumTestWithCorrelation()
- Wilcoxon rank sum test (adapted from
limma::rankSumTestWithCorrelation)
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sel_inc_rate()
- Perform selection based on inclusion rate
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simdata_1ct
- Datasets Demo synthetic scRNA-seq data with one cell type based on
DuoClustering2018::sce_full_Zhengmix4eq()
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simdata_2ct
- Demo synthetic scRNA-seq data with two cell types based on
DuoClustering2018::sce_full_Zhengmix4eq()