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  "Package": "DaparToolshed",
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  "Title": "Tools for the Differential Analysis of Proteins Abundance with R",
  "Version": "0.99.36",
  "Date": "2026-05-07",
  "Authors@R": "c(\nperson(given = \"Samuel\", family = \"Wieczorek\",\nemail = \"samuel.wieczorek@cea.fr\", role = c(\"cre\", \"aut\"),\ncomment=c(ORCID=\"0000-0002-5016-1203\")),\nperson(given = \"Thomas\", family =\"Burger\",\nemail = \"thomas.burger@cea.fr\", role = c(\"aut\")),\nperson(given = \"Enora\", family =\"Fremy\",\nemail = \"enora.fremy@cea.fr\", role = c(\"ctb\")),\nperson(given = \"Manon\", family =\"Gaudin\",\nemail = \"manon.gaudin@cea.fr\", role = c(\"ctb\"))\n)",
  "Description": "The package DaparToolshed is a Bioconductor distributed R\npackage which provides all the necessary functions to analyze\nquantitative data from label-free proteomics experiments. It is\nan update of our previous package DAPAR and contains more\nfunctions to analyze the data and uses MultAssayExperiment and\nSummarizedExperiment data structures. Contrarily to most other\nsimilar R packages, it is endowed with rich and user-friendly\ngraphical interfaces, so that no programming skill is required\n(see `Prostar` package).",
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  "BugReports": "https://github.com/edyp-lab/DaparToolshed/issues",
  "License": "Artistic-2.0",
  "biocViews": "Proteomics, Normalization, Preprocessing, MassSpectrometry,\nQualityControl, DataImport",
  "NeedsCompilation": "no",
  "Collate": "history_utils.R plots_volcano.R DiffAnalysis.R\nadjacencyMatrix.R plots_compare_assays.R\nmissingValuesImputation_ProteinLevel.R\nmissingValuesImputation_PeptideLevel.R hypothesisTest_plot.R\nanova_analysis.R compute.t.tests.R limmaAnalysis.R\nplots_normalization.R funcs_FunctionFiltering.R plot_metacell.R\nfuncs_normalize.R doc-data.R QFeatures_utils.R output2Excel.R\nDaparToolshed_Params_Addons.R metacell.R\nDaparToolshed_filter_Adjmat.R DaparToolshed_QFeatures_Addons.R\nDaparToolshed_filter_qMetadata.R\nDaparToolshed-filterFeaturesOneSE.R export_qfeatures.R\nimport_2_qfeatures.R utils.R pepa.R global.R palette.R\nshinyValue.R get_pep_prot_cc.R aggregation.R heatmap.R\ninitialization.R",
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  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-05-07 08:57:44 UTC",
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  "Author": "Samuel Wieczorek [cre, aut] (ORCID:\n<https://orcid.org/0000-0002-5016-1203>),\nThomas Burger [aut],\nEnora Fremy [ctb],\nManon Gaudin [ctb]",
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    "Add_Item_to_Dataset",
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    "AdjMatFilters",
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    "aggregateFeatures4Prostar",
    "aggregateMethods",
    "aggregateRedistribution",
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    "analysis",
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    "BuildAdjacencyMatrix",
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    "checkConditions",
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    "design_qf",
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    "diffAnaComputeAdjustedPValues",
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    "DifferentialAnalysis",
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    "filename",
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    "formatPHResults",
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    "GetColorsForConditions",
    "getDesignLevel",
    "GetDetailedNbPeptides",
    "GetDetailedNbPeptidesUsed",
    "GetHistory",
    "GetIndices_BasedOnConditions",
    "GetIndices_FunFiltering",
    "GetIndices_WholeLine",
    "GetIndices_WholeMatrix",
    "getListNbValuesInLines",
    "GetMetacellTags",
    "GetMetadataSlot",
    "GetNbPeptidesUsed",
    "GetNbTags",
    "getNumberOfEmptyLines",
    "getPepProtCC",
    "getProteinsStats",
    "getQuantile4Imp",
    "GetSoftAvailables",
    "GetUniqueTags",
    "globalAdjPval",
    "GlobalQuantileAlignment",
    "GraphPepProt",
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    "heatmapForMissingValues",
    "histPValue_HC",
    "HypothesisTest",
    "HypothesisTest<-",
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    "innerMedian",
    "innerMedianpolish",
    "innerRobustsummary",
    "innerSum",
    "isDifferential",
    "isOfType",
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    "Keep_Items_from_Dataset",
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    "metacellDef",
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    "metacellPerLinesHistoPerCondition_HC",
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    "NAIsZero",
    "names_metacell",
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    "subAdjMat_topnPeptides",
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    "wrapperImputeMLE",
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    "Write_RowData",
    "Write_SamplesData_to_Excel",
    "write2excel",
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      "title": "subR25pept dataset",
      "object": "subR25pept",
      "file": "subR25pept.RData",
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      "page": "Add_Item_to_Dataset",
      "title": "Adds an instance of 'SummarizedExperiment' to a 'QFeatures' object",
      "topics": [
        "Add_Item_to_Dataset"
      ]
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    {
      "page": "Add2History",
      "title": "Add row to history",
      "topics": [
        "Add2History"
      ]
    },
    {
      "page": "adjacency-matrix-filter",
      "title": "Filter a peptide assay on the basis of its adjacency matrix.",
      "topics": [
        "adjacency-matrix-filter",
        "AdjMatFilters",
        "allPeptides",
        "sharedPeptides",
        "specPeptides",
        "subAdjMat_sharedPeptides",
        "subAdjMat_specificPeptides",
        "subAdjMat_topnPeptides",
        "topnFunctions",
        "topnPeptides"
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      "title": "iteratively applies OWAnova() on the features of an MSnSet object",
      "topics": [
        "applyAnovasOnProteins"
      ]
    },
    {
      "page": "BuildAdjacencyMatrix",
      "title": "Function matrix of appartenance group",
      "topics": [
        "BuildAdjacencyMatrix"
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      "title": "Display a CC",
      "topics": [
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      "title": "Metacell function",
      "topics": [
        "BuildMetacell"
      ]
    },
    {
      "page": "checkConditions",
      "title": "Check if the design is valid",
      "topics": [
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    },
    {
      "page": "checkDesign",
      "title": "Check if the design is valid",
      "topics": [
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      "title": "Names of all children of a node",
      "topics": [
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    {
      "page": "classic1wayAnova",
      "title": "Function to perform a One-way Anova statistical test on a MsnBase dataset",
      "topics": [
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    {
      "page": "CleanRowData",
      "title": "Clean row data",
      "topics": [
        "CleanRowData"
      ]
    },
    {
      "page": "compareNormalizationD_HC",
      "title": "Builds a plot from a dataframe. Same as compareNormalizationD but uses the library 'plotly'",
      "topics": [
        "compareNormalizationD_HC"
      ]
    },
    {
      "page": "compute_t_tests",
      "title": "Compute a t-test",
      "topics": [
        "compute_t_tests"
      ]
    },
    {
      "page": "ConvertListToHtml",
      "title": "Convert a list to unnumbered HTML list",
      "topics": [
        "ConvertListToHtml"
      ]
    },
    {
      "page": "import-export-QFeatures",
      "title": "Creates an object of class 'QFeatures' from text file.",
      "topics": [
        "createQFeatures"
      ]
    },
    {
      "page": "DaparToolshed-aggregate",
      "title": "Aggregate an assay's quantitative features",
      "topics": [
        "Add_Aggregated_rowData",
        "aggQmetacell",
        "aggregateFeatures4Prostar",
        "aggregateFeatures4Prostar,QFeatures-method",
        "aggregateFeatures4Prostar,SummarizedExperiment-method",
        "aggregateMethods",
        "BuildColumnToProteinDataset",
        "CountPep",
        "DaparToolshed-aggregate",
        "ExtractUniquePeptides",
        "GetDetailedNbPeptides",
        "GetDetailedNbPeptidesUsed",
        "GetNbPeptidesUsed",
        "getProteinsStats",
        "GraphPepProt",
        "innerAggregateIter",
        "innerMean",
        "innerMedian",
        "innerMedianpolish",
        "innerRobustsummary",
        "innerSum",
        "metacell_agg",
        "RunAggregation",
        "select_topn"
      ]
    },
    {
      "page": "DaparToolshed-aggregateRedistribution",
      "title": "Aggregate an assay's quantitative features with shared peptide redistribution",
      "topics": [
        "aggregateRedistribution",
        "aggregateRedistribution,QFeatures-method",
        "aggregateRedistribution,SummarizedExperiment-method",
        "DaparToolshed-aggregateRedistribution"
      ]
    },
    {
      "page": "diffAnaComputeAdjustedPValues",
      "title": "Computes the adjusted p-values",
      "topics": [
        "diffAnaComputeAdjustedPValues"
      ]
    },
    {
      "page": "diffAnaComputeFDR",
      "title": "Computes the FDR corresponding to the p-values of the differential analysis",
      "topics": [
        "diffAnaComputeFDR"
      ]
    },
    {
      "page": "diffAnaVolcanoplot_rCharts",
      "title": "Volcanoplot of the differential analysis",
      "topics": [
        "diffAnaVolcanoplot_rCharts"
      ]
    },
    {
      "page": "displayCCvisNet",
      "title": "Display a CC",
      "topics": [
        "displayCCvisNet"
      ]
    },
    {
      "page": "ExtendPalette",
      "title": "Extends a base-palette of the package RColorBrewer to n colors.",
      "topics": [
        "ExtendPalette"
      ]
    },
    {
      "page": "formatHSDResults",
      "title": "Extracts the FC and the FWER ajusted p-values and format them in a data.frame",
      "topics": [
        "formatHSDResults"
      ]
    },
    {
      "page": "formatLimmaResult",
      "title": "Format Limma results",
      "topics": [
        "formatLimmaResult"
      ]
    },
    {
      "page": "formatPHResults",
      "title": "Extract logFC and raw pvalues from multiple post-hoc models summaries",
      "topics": [
        "formatPHResults"
      ]
    },
    {
      "page": "formatPHTResults",
      "title": "Extracts the FC and the raw p-values and format them in a data.frame",
      "topics": [
        "formatPHTResults"
      ]
    },
    {
      "page": "fudge2LRT",
      "title": "Heuristic to choose the value of the hyperparameter (fudge factor) used to regularize the variance estimator in the likelihood ratio statistic",
      "topics": [
        "fudge2LRT"
      ]
    },
    {
      "page": "GetColorsForConditions",
      "title": "Builds a complete color palette for the conditions given in argument",
      "topics": [
        "GetColorsForConditions"
      ]
    },
    {
      "page": "getDesignLevel",
      "title": "Get design level",
      "topics": [
        "getDesignLevel"
      ]
    },
    {
      "page": "GetHistory",
      "title": "Wrapper for the 'paramshistory' function.",
      "topics": [
        "GetHistory"
      ]
    },
    {
      "page": "GetIndices_BasedOnConditions",
      "title": "Search lines which respects request on one or more conditions.",
      "topics": [
        "GetIndices_BasedOnConditions"
      ]
    },
    {
      "page": "GetIndices_FunFiltering",
      "title": "Delete the lines in the matrix of intensities and the metadata table given their indices.",
      "topics": [
        "GetIndices_FunFiltering"
      ]
    },
    {
      "page": "GetIndices_WholeLine",
      "title": "Search lines which respects query on all their elements.",
      "topics": [
        "GetIndices_WholeLine"
      ]
    },
    {
      "page": "GetIndices_WholeMatrix",
      "title": "Search lines which respects request on one or more conditions.",
      "topics": [
        "GetIndices_WholeMatrix"
      ]
    },
    {
      "page": "getListNbValuesInLines",
      "title": "Returns the possible number of values in lines in the data",
      "topics": [
        "getListNbValuesInLines"
      ]
    },
    {
      "page": "GetNbTags",
      "title": "Number of each metacell tags",
      "topics": [
        "GetNbTags"
      ]
    },
    {
      "page": "getNumberOfEmptyLines",
      "title": "Returns the number of empty lines in the data",
      "topics": [
        "getNumberOfEmptyLines"
      ]
    },
    {
      "page": "getPepProtCC",
      "title": "Build the list of connex composant of the adjacency matrix",
      "topics": [
        "getPepProtCC"
      ]
    },
    {
      "page": "GetSoftAvailables",
      "title": "The set of available softwares to convert from",
      "topics": [
        "GetSoftAvailables"
      ]
    },
    {
      "page": "globalAdjPval",
      "title": "Computes the adjusted p-values on all the stacked contrasts using CP4P",
      "topics": [
        "globalAdjPval"
      ]
    },
    {
      "page": "hc_logFC_DensityPlot",
      "title": "Density plots of logFC values",
      "topics": [
        "hc_logFC_DensityPlot"
      ]
    },
    {
      "page": "heatmap",
      "title": "Display a heatmap for data with missing values",
      "topics": [
        "heatmapForMissingValues"
      ]
    },
    {
      "page": "histPValue_HC",
      "title": "Plots a histogram of p-values",
      "topics": [
        "histPValue_HC"
      ]
    },
    {
      "page": "imputePA2",
      "title": "Missing values imputation from a 'MSnSet' object",
      "topics": [
        "imputePA2"
      ]
    },
    {
      "page": "InitializeHistory",
      "title": "Initialize the history",
      "topics": [
        "InitializeHistory"
      ]
    },
    {
      "page": "isDifferential",
      "title": "Identification of differentially abundant peptide/protein",
      "topics": [
        "isDifferential"
      ]
    },
    {
      "page": "isOfType",
      "title": "Similar to the function 'is.na()' but focused on the equality with the paramter 'type'.",
      "topics": [
        "isOfType"
      ]
    },
    {
      "page": "isSubset",
      "title": "Check is a given set is a subset of another one.",
      "topics": [
        "isSubset"
      ]
    },
    {
      "page": "Keep_Items_from_Dataset",
      "title": "Removes assay from a 'QFeatures' object",
      "topics": [
        "Keep_Items_from_Dataset"
      ]
    },
    {
      "page": "LH0",
      "title": "Compute the likelihood of the null hypothesis for the global model",
      "topics": [
        "LH0"
      ]
    },
    {
      "page": "LH0_lm",
      "title": "Compute the likelihoods of the null hypothesis for the \"local\" component-wise model",
      "topics": [
        "LH0_lm"
      ]
    },
    {
      "page": "LH1",
      "title": "Compute the likelihood of the alternative hypothesis for the global model",
      "topics": [
        "LH1"
      ]
    },
    {
      "page": "LH1_lm",
      "title": "Compute the likelihoods of the alternative hypothesis for the \"local\" component-wise model",
      "topics": [
        "LH1_lm"
      ]
    },
    {
      "page": "limmaCompleteTest",
      "title": "Computes a hierarchical differential analysis",
      "topics": [
        "limmaCompleteTest"
      ]
    },
    {
      "page": "makeContrast",
      "title": "Builds the contrast matrix",
      "topics": [
        "makeContrast"
      ]
    },
    {
      "page": "makeDesign",
      "title": "Builds the design matrix",
      "topics": [
        "makeDesign"
      ]
    },
    {
      "page": "makeDesign1",
      "title": "Builds the design matrix for designs of level 1",
      "topics": [
        "makeDesign1"
      ]
    },
    {
      "page": "makeDesign2",
      "title": "Builds the design matrix for designs of level 2",
      "topics": [
        "makeDesign2"
      ]
    },
    {
      "page": "makeDesign3",
      "title": "Builds the design matrix for designs of level 3",
      "topics": [
        "makeDesign3"
      ]
    },
    {
      "page": "matchMetacell",
      "title": "Similar to the function 'is.na()' but focused on the equality with the paramter 'type'.",
      "topics": [
        "matchMetacell"
      ]
    },
    {
      "page": "Metacell_DIA_NN",
      "title": "Sets the metacell dataframe for datasets which are from Dia-NN software",
      "topics": [
        "Metacell_DIA_NN"
      ]
    },
    {
      "page": "Metacell_maxquant",
      "title": "Sets the metacell dataframe",
      "topics": [
        "Metacell_maxquant"
      ]
    },
    {
      "page": "Metacell_proline",
      "title": "Sets the metacell dataframe for datasets which are from Proline software",
      "topics": [
        "Metacell_proline"
      ]
    },
    {
      "page": "metacell-plots",
      "title": "Bar plot of missing values per lines using plotly",
      "topics": [
        "hc_mvTypePlot2",
        "metacell-plots",
        "metacellHisto_HC",
        "metacellPerLinesHistoPerCondition_HC",
        "metacellPerLinesHisto_HC",
        "mvImage",
        "wrapperMVImage"
      ]
    },
    {
      "page": "MetacellFilteringScope",
      "title": "Lists the metacell scopes for filtering",
      "topics": [
        "MetacellFilteringScope"
      ]
    },
    {
      "page": "mv_imputation_protein",
      "title": "Finds the LAPALA",
      "topics": [
        "findMECBlock",
        "getQuantile4Imp",
        "mv_imputation_protein",
        "reIntroduceMEC",
        "wrapperImputeDetQuant",
        "wrapperImputeFixedValue",
        "wrapperImputeKNN",
        "wrapperImputePA",
        "wrapperImputeSLSA"
      ]
    },
    {
      "page": "NAIsZero",
      "title": "Set NA values to 0",
      "topics": [
        "NAIsZero"
      ]
    },
    {
      "page": "nEmptyLines",
      "title": "Number of empty lines in the data",
      "topics": [
        "nEmptyLines"
      ]
    },
    {
      "page": "nonzero",
      "title": "Retrieve the indices of non-zero elements in sparse matrices",
      "topics": [
        "nonzero"
      ]
    },
    {
      "page": "normalization_methods",
      "title": "Normalisation",
      "topics": [
        "GlobalQuantileAlignment",
        "LOESS",
        "MeanCentering",
        "normalization_methods",
        "normalizeMethods",
        "QuantileCentering",
        "SumByColumns",
        "vsn"
      ]
    },
    {
      "page": "normalizeFunction",
      "title": "Normalisation for QFeatures",
      "topics": [
        "normalizeFunction"
      ]
    },
    {
      "page": "output_2_Excel",
      "title": "This function exports a data.frame to a Excel file.",
      "topics": [
        "listSheets",
        "output_2_Excel",
        "readExcel",
        "writeExcel",
        "WriteHistory",
        "write_Assay_To_Excel",
        "Write_RowData",
        "Write_SamplesData_to_Excel"
      ]
    },
    {
      "page": "OWAnova",
      "title": "Applies aov() on a vector of protein abundances using the design derived from the sample names (simple aov wrapper)",
      "topics": [
        "OWAnova"
      ]
    },
    {
      "page": "QFeatures-accessors",
      "title": "List of metacell tags",
      "topics": [
        "analysis",
        "analysis,QFeatures-method",
        "analysis,SummarizedExperiment-method",
        "analysis<-",
        "ConnectedComp",
        "ConnectedComp,QFeatures-method",
        "ConnectedComp,SummarizedExperiment-method",
        "ConnectedComp<-",
        "design_qf",
        "design_qf,QFeatures-method",
        "design_qf<-",
        "DifferentialAnalysis",
        "DifferentialAnalysis,QFeatures-method",
        "DifferentialAnalysis,SummarizedExperiment-method",
        "DifferentialAnalysis<-",
        "filename",
        "filename,QFeatures-method",
        "filename<-",
        "GetMetacellTags",
        "GetMetacellTags,data.frame-method",
        "GetMetacellTags,QFeatures-method",
        "GetMetacellTags,SummarizedExperiment-method",
        "GetMetadataSlot",
        "GetRowdataSlot",
        "GetUniqueTags",
        "GetUniqueTags,QFeatures-method",
        "GetUniqueTags,SummarizedExperiment-method",
        "HypothesisTest",
        "HypothesisTest,QFeatures-method",
        "HypothesisTest,SummarizedExperiment-method",
        "HypothesisTest<-",
        "idcol",
        "idcol,QFeatures-method",
        "idcol,SummarizedExperiment-method",
        "idcol<-",
        "mainAssay",
        "names_metacell",
        "names_metacell,QFeatures-method",
        "names_metacell,SummarizedExperiment-method",
        "names_metacell<-",
        "paramshistory",
        "paramshistory,QFeatures-method",
        "paramshistory,SummarizedExperiment-method",
        "paramshistory<-",
        "parentProtId",
        "parentProtId,QFeatures-method",
        "parentProtId,SummarizedExperiment-method",
        "parentProtId<-",
        "QFeatures-accessors",
        "qMetacell",
        "qMetacell,QFeatures-method",
        "qMetacell,SummarizedExperiment-method",
        "qMetacell<-",
        "typeDataset",
        "typeDataset,QFeatures-method",
        "typeDataset,SummarizedExperiment-method",
        "typeDataset<-",
        "version",
        "version,QFeatures-method",
        "version<-"
      ]
    },
    {
      "page": "Parent",
      "title": "Parent name of a node",
      "topics": [
        "Parent"
      ]
    },
    {
      "page": "pepaTest",
      "title": "PEptide based Protein differential Abundance test",
      "topics": [
        "pepaTest"
      ]
    },
    {
      "page": "Pipelines",
      "title": "List of available pipelines in the package",
      "topics": [
        "Pipelines"
      ]
    },
    {
      "page": "pkgsRequire",
      "title": "Loads packages",
      "topics": [
        "pkgsRequire"
      ]
    },
    {
      "page": "compare-assays",
      "title": "Compare two assays",
      "topics": [
        "plotCompareAssays"
      ]
    },
    {
      "page": "plotJitter",
      "title": "Jitter plot of CC",
      "topics": [
        "plotJitter"
      ]
    },
    {
      "page": "plotJitter_rCharts",
      "title": "Display a a jitter plot for CC",
      "topics": [
        "plotJitter_rCharts"
      ]
    },
    {
      "page": "postHocTest",
      "title": "Post-hoc tests for classic 1-way ANOVA",
      "topics": [
        "postHocTest"
      ]
    },
    {
      "page": "pushpvalue",
      "title": "Push p-values based on metacell tags",
      "topics": [
        "pushpvalue"
      ]
    },
    {
      "page": "q_metacell",
      "title": "Quantitative metadata vocabulary for entities",
      "topics": [
        "custom_metacell_colors",
        "metacellDef",
        "Metacell_generic",
        "metacombine",
        "q_metacell",
        "searchMetacellTags",
        "Set_POV_MEC_tags",
        "Set_POV_MEC_tags2",
        "UpdateMetacellAfterImputation",
        "UpdateMetacellAfterImputation,SummarizedExperiment-method"
      ]
    },
    {
      "page": "QFeatures-excel",
      "title": "Exports a 'QFeatures' object to a Excel file.",
      "topics": [
        "addColors",
        "QFeatures-excel",
        "write2excel",
        "write2excel,QFeatures-method",
        "write2excel,SummarizedExperiment-method",
        "write2excelSE"
      ]
    },
    {
      "page": "QFeatures-filtering-oneSE",
      "title": "Filter features of one SE based on their rowData",
      "topics": [
        "DaparToolsehd,",
        "filterFeaturesOneSE",
        "filterFeaturesOneSE,",
        "filterFeaturesOneSE,QFeatures-method",
        "FunctionFilter",
        "FunctionFilter,",
        "FunctionFilter-class",
        "QFeatures-filtering-oneSE",
        "VariableFilter"
      ]
    },
    {
      "page": "QFeatures-utils",
      "title": "Utility funcitons to dela with QFeatures objects.",
      "topics": [
        "last_assay",
        "n_assays_in_qf",
        "QFeatures-utils",
        "QFeaturesFromSE"
      ]
    },
    {
      "page": "ReplaceSpecialChars",
      "title": "Standardize names",
      "topics": [
        "ReplaceSpecialChars"
      ]
    },
    {
      "page": "samLRT",
      "title": "Computes a regularized version of the likelihood ratio statistic",
      "topics": [
        "samLRT"
      ]
    },
    {
      "page": "separateAdjPval",
      "title": "Computes the adjusted p-values separately on contrast using CP4P",
      "topics": [
        "separateAdjPval"
      ]
    },
    {
      "page": "SetHistory",
      "title": "Standardize names",
      "topics": [
        "SetHistory"
      ]
    },
    {
      "page": "splitAdjacencyMat",
      "title": "splits an adjacency matrix into specific and shared",
      "topics": [
        "splitAdjacencyMat"
      ]
    },
    {
      "page": "subR25pept",
      "title": "subR25pept dataset",
      "topics": [
        "subR25pept"
      ]
    },
    {
      "page": "subR25prot",
      "title": "subR25prot dataset",
      "topics": [
        "subR25prot"
      ]
    },
    {
      "page": "qMetacell-filter",
      "title": "Search lines which respects request on one or more conditions.",
      "topics": [
        "qMetacell-filter",
        "qMetacellFilteringScope",
        "qMetacellOnConditions",
        "qMetacellWholeLine",
        "qMetacellWholeMatrix",
        "SymFilteringOperators"
      ]
    },
    {
      "page": "testAnovaModels",
      "title": "Applies a statistical test on each element of a list of linear models",
      "topics": [
        "testAnovaModels"
      ]
    },
    {
      "page": "testDesign",
      "title": "Check the validity of the design",
      "topics": [
        "testDesign"
      ]
    },
    {
      "page": "thresholdpval4fdr",
      "title": "Applies p-value adjustment using cp4p on p-values below a given threshold",
      "topics": [
        "thresholdpval4fdr"
      ]
    },
    {
      "page": "translatedRandomBeta",
      "title": "Generator of simulated values",
      "topics": [
        "translatedRandomBeta"
      ]
    },
    {
      "page": "wrapperCalibrationPlot",
      "title": "Performs a calibration plot on an 'SummarizedExperiment' object, calling the 'cp4p' package functions.",
      "topics": [
        "wrapperCalibrationPlot"
      ]
    },
    {
      "page": "wrapperClassic1wayAnova",
      "title": "Wrapper for One-way Anova statistical test",
      "topics": [
        "wrapperClassic1wayAnova"
      ]
    },
    {
      "page": "wrapperDaparImputeMI",
      "title": "Missing values imputation using the LSimpute algorithm.",
      "topics": [
        "wrapperDaparImputeMI"
      ]
    },
    {
      "page": "wrapperImputeMLE",
      "title": "Imputation of peptides having no values in a biological condition.",
      "topics": [
        "wrapperImputeMLE"
      ]
    },
    {
      "page": "wrapperImputePA2",
      "title": "Missing values imputation from a 'SummarizedExperiment' object",
      "topics": [
        "wrapperImputePA2"
      ]
    },
    {
      "page": "wrapperPirat",
      "title": "Missing values imputation using Pirat",
      "topics": [
        "wrapperPirat"
      ]
    }
  ],
  "_readme": "https://github.com/bioc/DaparToolshed/raw/HEAD/README.md",
  "_rundeps": [
    "abind",
    "AnnotationFilter",
    "askpass",
    "base64enc",
    "Biobase",
    "BiocBaseUtils",
    "BiocGenerics",
    "bslib",
    "cachem",
    "cli",
    "clue",
    "cluster",
    "cpp11",
    "crosstalk",
    "curl",
    "data.table",
    "DelayedArray",
    "digest",
    "dplyr",
    "evaluate",
    "farver",
    "fastmap",
    "fontawesome",
    "fs",
    "generics",
    "GenomicRanges",
    "ggplot2",
    "glue",
    "graph",
    "gtable",
    "highr",
    "htmltools",
    "htmlwidgets",
    "httr",
    "igraph",
    "IRanges",
    "isoband",
    "jquerylib",
    "jsonlite",
    "knitr",
    "labeling",
    "later",
    "lattice",
    "lazyeval",
    "lifecycle",
    "magrittr",
    "MASS",
    "Matrix",
    "MatrixGenerics",
    "matrixStats",
    "memoise",
    "mime",
    "MsCoreUtils",
    "MultiAssayExperiment",
    "openssl",
    "openxlsx",
    "otel",
    "pillar",
    "pkgconfig",
    "plotly",
    "plyr",
    "preprocessCore",
    "promises",
    "ProtGenerics",
    "purrr",
    "QFeatures",
    "R6",
    "rappdirs",
    "RColorBrewer",
    "Rcpp",
    "reshape2",
    "rlang",
    "rmarkdown",
    "S4Arrays",
    "S4Vectors",
    "S7",
    "sass",
    "scales",
    "Seqinfo",
    "SparseArray",
    "stringi",
    "stringr",
    "SummarizedExperiment",
    "sys",
    "tibble",
    "tidyr",
    "tidyselect",
    "tinytex",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr",
    "xfun",
    "XVector",
    "yaml",
    "zip"
  ],
  "_vignettes": [
    {
      "source": "DaparToolshed.Rmd",
      "filename": "DaparToolshed.html",
      "title": "Peptide workflow with DaparToolshed",
      "author": "Manon Gaudin, Samuel Wieczorek, Thomas Burger",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Installation",
        "Import dataset",
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