bg__calc_variables      Calculate Gene Variables
bg__default_mean2disp   Mean to Dispersion
bg__dropout_plot_base   Make M3Drop Plots
bg__fit_gamma           Fit Gamma Distribution
bg__fit_MM              Fit functions to the dropouts vs expression
                        distribution.
bg__fit_size_to_var     Fit gene-specific dispersion
bg__get_stats           Calculate Simulation Statistics
bg__horizontal_residuals_MM_log10
                        Calculate Horizontal Residuals
bg__m3dropTraditionalDE
                        Perform Traditional Differential Expression
bg__MakeSimData         Make Simulated Data
bg__nbumiGroupDE        Perform Traditional Differential Expression
bg__shift_size          Shift Size Parameter
bg__var_vs_drop         Variance vs Dropout Rate
BrenneckeGetVariableGenes
                        Identify Highly Variable Genes
Consensus_FS            Consensus Feature Selection
irlbaPcaFS              Other Feature Selection Methods
M3DropCleanData         Filter Expression Data
M3DropConvertData       Convert Data to be suitable for M3Drop
M3DropDropoutModels     Fit functions to the dropouts vs expression
                        distribution.
M3DropExpressionHeatmap
                        Plot Heatmap of Gene Expression
M3DropFeatureSelection
                        Differentially Expressed Genes.
M3DropGetExtremes       Get outliers from MM curve.
M3DropGetHeatmapClusters
                        Extracts clusters/ordered names from heatmap
                        output
M3DropGetMarkers        Identify marker genes
M3DropSimulationTrifecta
                        Make Simulated Data from a provided scRNASeq
                        dataset.
M3DropTestShift         Test for horizontal shift.
M3DropThreeSetVenn      Three-way Venn Diagram
NBumiCheckFit           Check Fit Quality
NBumiCoexpression       Variance-based Feature Selection
NBumiCompareModels      Compare negative binomial models
NBumiConvertData        Convert Data to be suitable for NBumi
NBumiConvertToInteger   Turn a matrix of expression values into integer
                        counts
NBumiFeatureSelectionCombinedDrop
                        Dropout-based Feature Selection
NBumiFeatureSelectionHighVar
                        Variance-based Feature Selection
NBumiFitDispVsMean      Fit function between mean and dispersion
NBumiFitModel           Fit Depth-Adjusted Negative Binomial Model
NBumiHVG                Variance-based Feature Selection Accounting for
                        Library Size and Sample Variance
NBumiImputeNorm         Normalized Data using the DANB model
NBumiPearsonResiduals   Calculate Pearson Residuals
obsolete__nbumiFeatureSelectionDropouts
                        Other Feature Selection Methods
PoissonUMIFeatureSelectionDropouts
                        Dropout-based Feature Selection
