{
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  "Package": "M3Drop",
  "Version": "1.39.0",
  "Date": "2024-03-25",
  "Title": "Michaelis-Menten Modelling of Dropouts in single-cell RNASeq",
  "Author": "Tallulah Andrews <tallulandrews@gmail.com>",
  "Maintainer": "Tallulah Andrews <tallulandrews@gmail.com>",
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  "biocViews": "RNASeq, Sequencing, Transcriptomics, GeneExpression,\nSoftware, DifferentialExpression, DimensionReduction,\nFeatureExtraction",
  "Collate": "basics.R Plotting_fxns.R Curve_fitting.R Extremes.R\nNormalization.R Brennecke_implementation.R\nThreeway_ProportionalArea_VennDiagrams.R\nSimulations_Functions.R Traditional_DE.R NB_UMI.R\nM3D_Imputation.R Other_FS_functions.R DANB_HVG.R\nDANB_Coexpression.R",
  "Description": "This package fits a model to the pattern of dropouts in\nsingle-cell RNASeq data. This model is used as a null to\nidentify significantly variable (i.e. differentially expressed)\ngenes for use in downstream analysis, such as clustering cells.\nAlso includes an method for calculating exact Pearson residuals\nin UMI-tagged data using a library-size aware negative binomial\nmodel.",
  "URL": "https://github.com/tallulandrews/M3Drop",
  "BugReports": "https://github.com/tallulandrews/M3Drop/issues",
  "License": "GPL (>=2)",
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  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-04-28 12:44:35 UTC",
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    "M3DropConvertData",
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    "NBumiCheckFitFS",
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    "NBumiCompareModels",
    "NBumiConvertData",
    "NBumiConvertToInteger",
    "NBumiFeatureSelectionCombinedDrop",
    "NBumiFeatureSelectionHighVar",
    "NBumiFitBasicModel",
    "NBumiFitDispVsMean",
    "NBumiFitModel",
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    "NBumiImputeNorm",
    "NBumiPearsonResiduals",
    "NBumiPearsonResidualsApprox",
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    "PoissonUMIFeatureSelectionDropouts"
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      "title": "Calculate Gene Variables",
      "topics": [
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      ]
    },
    {
      "page": "bg__mean2disp",
      "title": "Mean to Dispersion",
      "topics": [
        "bg__default_mean2disp"
      ]
    },
    {
      "page": "bg__fit_gamma",
      "title": "Fit Gamma Distribution",
      "topics": [
        "bg__fit_gamma"
      ]
    },
    {
      "page": "NBumi_FitDisp",
      "title": "Fit gene-specific dispersion",
      "topics": [
        "bg__fit_size_to_var"
      ]
    },
    {
      "page": "bg__get_stats",
      "title": "Calculate Simulation Statistics",
      "topics": [
        "bg__get_stats"
      ]
    },
    {
      "page": "M3D_horz_res",
      "title": "Calculate Horizontal Residuals",
      "topics": [
        "bg__horizontal_residuals_MM_log10"
      ]
    },
    {
      "page": "M3D_Simulations",
      "title": "Make Simulated Data",
      "topics": [
        "bg__MakeSimData",
        "bg__MakeSimDE",
        "bg__MakeSimDVar",
        "bg__MakeSimHVar"
      ]
    },
    {
      "page": "NBumi_TradDE",
      "title": "Perform Traditional Differential Expression",
      "topics": [
        "bg__nbumiGroupDE"
      ]
    },
    {
      "page": "bg__shift_size",
      "title": "Shift Size Parameter",
      "topics": [
        "bg__shift_size"
      ]
    },
    {
      "page": "bg__var_vs_drop",
      "title": "Variance vs Dropout Rate",
      "topics": [
        "bg__var_vs_drop"
      ]
    },
    {
      "page": "Brennecke_getVariableGenes",
      "title": "Identify Highly Variable Genes",
      "topics": [
        "BrenneckeGetVariableGenes"
      ]
    },
    {
      "page": "Consensus_FS",
      "title": "Consensus Feature Selection",
      "topics": [
        "Consensus_FS"
      ]
    },
    {
      "page": "Fitting_Dropout_Models",
      "title": "Fit functions to the dropouts vs expression distribution.",
      "topics": [
        "bg__fit_logistic",
        "bg__fit_MM",
        "bg__fit_ZIFA"
      ]
    },
    {
      "page": "Imputation",
      "title": "Normalized Data using the DANB model",
      "topics": [
        "NBumiImputeNorm"
      ]
    },
    {
      "page": "M3D_Clean_Data",
      "title": "Filter Expression Data",
      "topics": [
        "bg__filter_cells",
        "M3DropCleanData"
      ]
    },
    {
      "page": "M3D_ConverData",
      "title": "Convert Data to be suitable for M3Drop",
      "topics": [
        "M3DropConvertData"
      ]
    },
    {
      "page": "M3D_Dropout_Models",
      "title": "Fit functions to the dropouts vs expression distribution.",
      "topics": [
        "M3DropDropoutModels"
      ]
    },
    {
      "page": "M3D_Expression_Heatmap",
      "title": "Plot Heatmap of Gene Expression",
      "topics": [
        "bg__expression_heatmap",
        "M3DropExpressionHeatmap"
      ]
    },
    {
      "page": "M3D_Differential_Expression",
      "title": "Differentially Expressed Genes.",
      "topics": [
        "bg__test_DE_K_equiv",
        "M3DropFeatureSelection"
      ]
    },
    {
      "page": "M3D_Get_Extremes",
      "title": "Get outliers from MM curve.",
      "topics": [
        "bg__get_extreme_residuals",
        "M3DropGetExtremes"
      ]
    },
    {
      "page": "M3D_Get_Heatmap_Cell_Clusters",
      "title": "Extracts clusters/ordered names from heatmap output",
      "topics": [
        "M3DropGetHeatmapClusters",
        "M3DropGetHeatmapNames"
      ]
    },
    {
      "page": "M3D_getmarkers",
      "title": "Identify marker genes",
      "topics": [
        "M3DropGetMarkers"
      ]
    },
    {
      "page": "M3D_Plotting",
      "title": "Make M3Drop Plots",
      "topics": [
        "bg__add_model_to_plot",
        "bg__dropout_plot_base",
        "bg__highlight_genes"
      ]
    },
    {
      "page": "M3D_Test_Shift",
      "title": "Test for horizontal shift.",
      "topics": [
        "M3DropTestShift"
      ]
    },
    {
      "page": "M3D_ThreeSet_Venn",
      "title": "Three-way Venn Diagram",
      "topics": [
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    },
    {
      "page": "M3D_TraditionalDE",
      "title": "Perform Traditional Differential Expression",
      "topics": [
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        "bg__get_mean2disp",
        "bg__m3dropTraditionalDE",
        "bg__m3dropTraditionalDEShiftDisp"
      ]
    },
    {
      "page": "NBumi_CheckFit",
      "title": "Check Fit Quality",
      "topics": [
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        "NBumiCheckFitFS"
      ]
    },
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      "page": "NBumi_CoExpression",
      "title": "Variance-based Feature Selection",
      "topics": [
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      "page": "NBumi_CompareModels",
      "title": "Compare negative binomial models",
      "topics": [
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      "topics": [
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    },
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      "page": "NBumi_FSDrop",
      "title": "Dropout-based Feature Selection",
      "topics": [
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      "title": "Variance-based Feature Selection",
      "topics": [
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      "topics": [
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        "obsolete__nbumiFeatureSelectionHighVarDist2Med"
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      "page": "NBumi_FitDispVsMean",
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      "topics": [
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        "NBumiPearsonResidualsApprox"
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      "page": "Other_FS",
      "title": "Other Feature Selection Methods",
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        "giniFS",
        "irlbaPcaFS"
      ]
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    {
      "page": "PoissonUMIFeatureSelectionDropouts",
      "title": "Dropout-based Feature Selection",
      "topics": [
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    {
      "page": "NewSimulations",
      "title": "Make Simulated Data from a provided scRNASeq dataset.",
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        "NBumiSimulationTrifecta"
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