{
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  "Package": "MSstatsLOBD",
  "Title": "Assay characterization: estimation of limit of blanc(LoB) and\nlimit of detection(LOD)",
  "Version": "1.21.0",
  "Date": "2021-04-12",
  "Description": "The MSstatsLOBD package allows calculation and\nvisualization of limit of blac (LOB) and limit of detection\n(LOD). We define the LOB as the highest apparent concentration\nof a peptide expected when replicates of a blank sample\ncontaining no peptides are measured. The LOD is defined as the\nmeasured concentration value for which the probability of\nfalsely claiming the absence of a peptide in the sample is\n0.05, given a probability 0.05 of falsely claiming its\npresence. These functionalities were previously a part of the\nMSstats package. The methodology is described in Galitzine\n(2018) <doi:10.1074/mcp.RA117.000322>.",
  "Authors@R": "c(person(\"Devon\", \"Kohler\", email = \"kohler.d@northeastern.edu\", role = c(\"aut\", \"cre\")),\nperson(\"Mateusz\", \"Staniak\", email = \"mtst@mstaniak.pl\", role = c(\"aut\")),\nperson(\"Cyril\", \"Galitzine\", email = \"cyrildgg@gmail.com\", role = \"aut\"),\nperson(\"Meena\", \"Choi\", email = \"mnchoi67@gmail.com\", role=\"aut\"),\nperson(\"Olga\", \"Vitek\", email = \"o.vitek@northeastern.edu\", role = \"aut\"))",
  "License": "Artistic-2.0",
  "VignetteBuilder": "knitr",
  "biocViews": "ImmunoOncology, MassSpectrometry, Proteomics, Software,\nDifferentialExpression, OneChannel, TwoChannel, Normalization,\nQualityControl",
  "BugReports": "https://github.com/Vitek-Lab/MSstatsLODQ/issues",
  "Encoding": "UTF-8",
  "LazyData": "TRUE",
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  "RoxygenNote": "7.1.1",
  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-04-28 12:56:14 UTC",
  "RemoteUrl": "https://github.com/bioc/MSstatsLOBD",
  "RemoteRef": "HEAD",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-11 10:07:26 UTC",
    "User": "root"
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  "Author": "Devon Kohler [aut, cre],\nMateusz Staniak [aut],\nCyril Galitzine [aut],\nMeena Choi [aut],\nOlga Vitek [aut]",
  "Maintainer": "Devon Kohler <kohler.d@northeastern.edu>",
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    {
      "name": "raw_data",
      "title": "Example of dataset that contains spike in data for 43 distinct peptides.",
      "object": "raw_data",
      "class": [
        "data.frame"
      ],
      "fields": [
        "File.Name",
        "Sample.Name",
        "Replicate.Name",
        "Protein.Name",
        "Peptide.Sequence",
        "Peptide.Modified.Sequence",
        "Precursor.Charge",
        "Product.Charge",
        "Fragment.Ion",
        "Average.Measured.Retention.Time",
        "SampleGroup",
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    {
      "page": "linear_quantlim",
      "title": "Calculation of the LOB and LOD with a linear fit",
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      "title": "Calculation of the LOB and LOD with a nonlinear fit",
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      "title": "Plot results of nonlinear_quantlim() and linear_quantlim()",
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      "source": "MSstatsLOBD_workflow.Rmd",
      "filename": "MSstatsLOBD_workflow.html",
      "title": "LOB/LOD Estimation Workflow",
      "author": "Cyril Galitzine",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Installation",
        "1 Example dataset",
        "1 Introduction",
        "2 Loading and Normalization of the data",
        "2.1 Load the raw data file and check its content.",
        "2.2 Normalize Dataset",
        "3 LOB/LOD definitions",
        "3.1 Assay characterization procedure",
        "3.2 LOB/LOD definitions",
        "4 Estimation of the LOB/LOD for dataset",
        "4.1 LOB/LOD estimation for a non-linear peptide",
        "4.2 LOB/LOD estimation for a linear peptide",
        "4.3 LOB/LOD linear estimation for a non-linear peptide",
        "4.4 LOB/LOD linear estimation for a linear peptide",
        "REFERENCES"
      ],
      "created": "2021-04-23 00:03:47",
      "modified": "2021-04-23 13:41:11",
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