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  "Authors@R": "person(\"Aaron\", \"Lun\", role=c(\"cre\", \"aut\"), email=\"infinite.monkeys.with.keyboards@gmail.com\")",
  "Title": "Bindings to C++ Libraries for Single-Cell Analysis",
  "Description": "Implements R bindings to C++ code for analyzing\nsingle-cell (expression) data, mostly from various libscran\nlibraries. Each function performs an individual step in the\nsingle-cell analysis workflow, ranging from quality control to\nclustering and marker detection. Additional wrappers are\nprovided for easy construction of end-to-end workflows\ninvolving Bioconductor objects like SingleCellExperiments.",
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    "extract_array",
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    "formatComputeAdtQcMetricsResult",
    "formatComputeCrisprQcMetricsResult",
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    "formatModelGeneVariancesResult",
    "formatScoreMarkersResult",
    "getTestAdtData.se",
    "getTestCrisprData.se",
    "getTestRnaData.se",
    "initializeCpp",
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    "LogNormalizedMatrix",
    "LogNormalizedMatrixSeed",
    "modelGeneVariances",
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    "normalizeAdtCounts.se",
    "normalizeCounts",
    "normalizeCountsDefaults",
    "normalizeCrisprCounts.se",
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    "normalizeRnaCountsWithSpikeIns.se",
    "previewMarkers",
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    "quickCrisprQc.se",
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        "scrapper"
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      "title": "Aggregate expression across genes",
      "topics": [
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    },
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      "title": "Aggregate expression across gene sets in a SummarizedExperiment",
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      "title": "Default parameters for 'aggregateAcrossGenes'",
      "topics": [
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      "title": "Build a shared nearest neighbor graph",
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    },
    {
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      "title": "Default parameters for 'buildSnnGraph'",
      "topics": [
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    {
      "page": "chooseHighlyVariableGenes",
      "title": "Choose highly variable genes",
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    },
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      "title": "Default parameters for 'chooseHighlyVariableGenes'",
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    },
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    {
      "page": "chooseRnaHvgs.se",
      "title": "Choose highly variable genes from a SummarizedExperiment",
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        "formatModelGeneVariancesResult"
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    },
    {
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      "title": "Choose highly variable genes based on spike-ins",
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      "topics": [
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      "title": "Graph-based clustering of cells in a SingleCellExperiment",
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    },
    {
      "page": "clusterGraphDefaults",
      "title": "Default parameters for 'clusterGraph'",
      "topics": [
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    {
      "page": "clusterKmeans",
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      ]
    },
    {
      "page": "clusterKmeans.se",
      "title": "k-means clustering of cells in a SingleCellExperiment",
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    },
    {
      "page": "clusterKmeansDefaults",
      "title": "Default parameters for 'clusterKmeans'",
      "topics": [
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    },
    {
      "page": "combineFactors",
      "title": "Combine multiple factors",
      "topics": [
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      ]
    },
    {
      "page": "computeBlockWeights",
      "title": "Compute block weights",
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    {
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      "title": "Default parameters for 'computeBlockWeights'",
      "topics": [
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    {
      "page": "computeClrm1Factors",
      "title": "Compute size factors for ADT counts",
      "topics": [
        "computeClrm1Factors"
      ]
    },
    {
      "page": "computeClrm1FactorsDefaults",
      "title": "Default parameters for 'computeClrm1Factors'",
      "topics": [
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    },
    {
      "page": "correctMnn",
      "title": "Batch correction with mutual nearest neighbors",
      "topics": [
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    {
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      "title": "MNN correction on a SingleCellExperiment",
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