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  "Title": "Processing functions and interface to process and analyze drug\ndose-response data",
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  "Repository": "https://bioc-release.r-universe.dev",
  "Date/Publication": "2026-04-28 13:01:09 UTC",
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  "Maintainer": "Arkadiusz Gladki <gladki.arkadiusz@gmail.com>",
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    "annotate_se_with_cell_line",
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    "calculate_excess",
    "calculate_GR_value",
    "calculate_HSA",
    "calculate_score",
    "calculate_time_dep_GR_value",
    "cleanup_metadata",
    "convert_mae_to_raw_data",
    "convert_se_to_raw_data",
    "create_and_normalize_SE",
    "create_SE",
    "data_model",
    "fit_SE",
    "fit_SE.combinations",
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    "get_cellline_annotation_from_dt",
    "get_default_nested_identifiers",
    "get_drug_annotation",
    "get_drug_annotation_from_dt",
    "grr_matches",
    "identify_data_type",
    "identify_keys",
    "map_df",
    "map_ids_to_fits",
    "map_untreated",
    "merge_data",
    "normalize_SE",
    "prepare_input",
    "process_perturbations",
    "replace_conc_with_standardized_conc",
    "runDrugResponseProcessingPipeline",
    "split_raw_data",
    "test_synthetic_data"
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      "title": "annotate_dt_with_cell_line",
      "topics": [
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    },
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      "page": "annotate_dt_with_drug",
      "title": "annotate_dt_with_drug",
      "topics": [
        "annotate_dt_with_drug"
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    },
    {
      "page": "annotate_mae_with_cell_line",
      "title": "annotate_mae_with_cell_line",
      "topics": [
        "annotate_mae_with_cell_line"
      ]
    },
    {
      "page": "annotate_mae_with_drug",
      "title": "annotate_mae_with_drug",
      "topics": [
        "annotate_mae_with_drug"
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      "title": "annotate_se_with_cell_line",
      "topics": [
        "annotate_se_with_cell_line"
      ]
    },
    {
      "page": "annotate_se_with_drug",
      "title": "annotate_se_with_drug",
      "topics": [
        "annotate_se_with_drug"
      ]
    },
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      "page": "runDrugResponseProcessingPipelineFxns",
      "title": "Run drug response processing pipeline",
      "topics": [
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        "create_and_normalize_SE",
        "create_SE",
        "fit_SE",
        "normalize_SE",
        "runDrugResponseProcessingPipeline",
        "runDrugResponseProcessingPipelineFxns"
      ]
    },
    {
      "page": "calculate_excess",
      "title": "Calculate the difference between values in two data.tables",
      "topics": [
        "calculate_excess"
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    },
    {
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      "title": "Calculate a GR value.",
      "topics": [
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        "calculate_GR_value",
        "calculate_time_dep_GR_value"
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    },
    {
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      "title": "Calculate a metric for combination data.",
      "topics": [
        ".calculate_matrix_metric",
        "calculate_Bliss",
        "calculate_HSA",
        "calculate_matrix_metric"
      ]
    },
    {
      "page": "calculate_score",
      "title": "Calculate score for HSA and Bliss",
      "topics": [
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    },
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      "page": "cleanup_metadata",
      "title": "cleanup_metadata",
      "topics": [
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      ]
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      "title": "Transform mae into raw data",
      "topics": [
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      ]
    },
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      "title": "Transform se into raw_data",
      "topics": [
        "convert_se_to_raw_data"
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    },
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      "page": "data_model",
      "title": "Detect model of data",
      "topics": [
        "data_model"
      ]
    },
    {
      "page": "data_model.character",
      "title": "Detect model of data from experiment name",
      "topics": [
        "data_model.character"
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    },
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      "title": "Detect model of data in data.table",
      "topics": [
        "data_model.data.table"
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      "title": "fit_SE for combination screens",
      "topics": [
        "fit_SE.combinations"
      ]
    },
    {
      "page": "get_assays_per_pipeline_step",
      "title": "get info about created/present assays in SE at the given pipeline step",
      "topics": [
        "get_assays_per_pipeline_step"
      ]
    },
    {
      "page": "get_cell_line_annotation",
      "title": "get_cell_line_annotation",
      "topics": [
        "get_cell_line_annotation"
      ]
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    {
      "page": "get_cellline_annotation_from_dt",
      "title": "Retrieve the cell line annotation from the annotated dt input",
      "topics": [
        "get_cellline_annotation_from_dt"
      ]
    },
    {
      "page": "get_default_nested_identifiers",
      "title": "Get default nested identifiers",
      "topics": [
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        "get_default_nested_identifiers.data.table",
        "get_default_nested_identifiers.SummarizedExperiment"
      ]
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      "title": "get_drug_annotation",
      "topics": [
        "get_drug_annotation"
      ]
    },
    {
      "page": "get_drug_annotation_from_dt",
      "title": "Retrieve the drug annotation from the annotated dt input",
      "topics": [
        "get_drug_annotation_from_dt"
      ]
    },
    {
      "page": "grr_matches",
      "title": "Value Matching",
      "topics": [
        "grr_matches"
      ]
    },
    {
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      "title": "Identify type of data",
      "topics": [
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      "title": "identify_keys",
      "topics": [
        "identify_keys"
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    },
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      "title": "Map treated conditions to their respective references.",
      "topics": [
        "map_df"
      ]
    },
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      "title": "Get predicted values for a given fit and input.",
      "topics": [
        "map_ids_to_fits"
      ]
    },
    {
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      "title": "Identify untreated rows based on Drug treatment alone",
      "topics": [
        "map_untreated"
      ]
    },
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      "title": "Testing synthetic data form gDRtestData package",
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