{
  "_id": "6a1abb3d1d7bb097a09d5faf",
  "Package": "proBatch",
  "Type": "Package",
  "Title": "Tools for Diagnostics and Corrections of Batch Effects in\nProteomics",
  "Version": "2.1.0",
  "Authors@R": "c(\nperson(\"Jelena\", \"Cuklina\", email = \"chuklina.jelena@gmail.com\", role = \"aut\"),\nperson(\"Chloe H.\", \"Lee\", email = \"chloe.h.lee94@gmail.com\", role = \"aut\"),\nperson(\"Patrick\", \"Pedrioli\", email = \"pedrioli@gmail.com\", role = \"aut\"),\nperson(\"Olga\", \"Zolotareva\", email = \"olga.zolotareva@uni-hamburg.de\", role = \"aut\"),\nperson(\"Yuliya\", \"Burankova\", email = \"yuliya.burankova@uni-hamburg.de\", role = \"cre\")\n)",
  "Description": "These tools facilitate batch effects analysis and\ncorrection in high-throughput experiments. It was developed\nprimarily for mass-spectrometry proteomics (DIA/SWATH), but\ncould also be applicable to most omic data with minor\nadaptations. The package contains functions for diagnostics\n(proteome/genome-wide and feature-level), correction\n(normalization and batch effects correction) and quality\ncontrol. Non-linear fitting based approaches were also included\nto deal with complex, mass spectrometry-specific signal drifts.",
  "biocViews": "BatchEffect, Normalization, Preprocessing, Software,\nMassSpectrometry, Proteomics, QualityControl, Visualization",
  "License": "GPL-3",
  "URL": "https://github.com/Freddsle/proBatch",
  "BugReports": "https://github.com/Freddsle/proBatch/issues",
  "Encoding": "UTF-8",
  "LazyData": "false",
  "VignetteBuilder": "knitr",
  "RoxygenNote": "7.3.3",
  "Language": "en-US",
  "Config/testthat/edition": "3",
  "Config/pak/sysreqs": "cmake libglpk-dev make libicu-dev libpng-dev\nlibuv1-dev libxml2-dev libssl-dev zlib1g-dev",
  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-04-28 13:06:18 UTC",
  "RemoteUrl": "https://github.com/bioc/proBatch",
  "RemoteRef": "HEAD",
  "RemoteSha": "d27d5f9af326270032ade3e5c1d5e65adb139f48",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-30 07:09:17 UTC",
    "User": "root"
  },
  "Author": "Jelena Cuklina [aut],\nChloe H. Lee [aut],\nPatrick Pedrioli [aut],\nOlga Zolotareva [aut],\nYuliya Burankova [cre]",
  "Maintainer": "Yuliya Burankova <yuliya.burankova@uni-hamburg.de>",
  "MD5sum": "6449bdeeaf210fac03c8f25be9b25aa9",
  "_user": "bioc",
  "_type": "src",
  "_file": "proBatch_2.1.0.tar.gz",
  "_fileid": "56c7ba6ff08006b2aa609d7403b379a6649fabf5dcfe8dc260dad8964700ccbc",
  "_filesize": 6974735,
  "_sha256": "56c7ba6ff08006b2aa609d7403b379a6649fabf5dcfe8dc260dad8964700ccbc",
  "_created": "2026-05-30T07:09:17.000Z",
  "_published": "2026-05-30T10:26:05.213Z",
  "_jobs": [
    {
      "job": 78632544199,
      "time": 246,
      "config": "bioc-checks",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "7306373163"
    },
    {
      "job": 78632544204,
      "time": 588,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7306413329"
    },
    {
      "job": 78632544203,
      "time": 579,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7306412374"
    },
    {
      "job": 78632544209,
      "time": 335,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7307288705"
    },
    {
      "job": 78632544215,
      "time": 382,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7307300617"
    },
    {
      "job": 78632128803,
      "time": 447,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7306344407"
    },
    {
      "job": 78632544200,
      "time": 221,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7306370146"
    },
    {
      "job": 78632544207,
      "time": 467,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7306399386"
    },
    {
      "job": 78632544206,
      "time": 532,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7306407064"
    },
    {
      "job": 78632544208,
      "time": 462,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7306398826"
    }
  ],
  "_bioccheck": {
    "error": 0,
    "warning": 0,
    "note": 7
  },
  "_buildurl": "https://github.com/r-universe/bioc/actions/runs/26677561944",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/bioc/proBatch",
  "_commit": {
    "id": "d27d5f9af326270032ade3e5c1d5e65adb139f48",
    "author": "A Wokaty <andres.wokaty@sph.cuny.edu>",
    "committer": "A Wokaty <andres.wokaty@sph.cuny.edu>",
    "message": "bump x.y.z version to odd y following creation of RELEASE_3_23 branch\n",
    "time": 1777381578
  },
  "_maintainer": {
    "name": "Yuliya Burankova",
    "email": "yuliya.burankova@uni-hamburg.de",
    "login": "freddsle",
    "description": "",
    "uuid": 15180672
  },
  "_distro": "noble",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.5.0",
      "role": "Depends"
    },
    {
      "package": "Biobase",
      "role": "Imports"
    },
    {
      "package": "QFeatures",
      "role": "Imports"
    },
    {
      "package": "SummarizedExperiment",
      "role": "Imports"
    },
    {
      "package": "S4Vectors",
      "role": "Imports"
    },
    {
      "package": "corrplot",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "role": "Imports"
    },
    {
      "package": "data.table",
      "role": "Imports"
    },
    {
      "package": "ggfortify",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "gridExtra",
      "role": "Imports"
    },
    {
      "package": "grDevices",
      "role": "Imports"
    },
    {
      "package": "lazyeval",
      "role": "Imports"
    },
    {
      "package": "lubridate",
      "role": "Imports"
    },
    {
      "package": "limma",
      "role": "Imports"
    },
    {
      "package": "magrittr",
      "role": "Imports"
    },
    {
      "package": "matrixStats",
      "role": "Imports"
    },
    {
      "package": "methods",
      "role": "Imports"
    },
    {
      "package": "pheatmap",
      "role": "Imports"
    },
    {
      "package": "preprocessCore",
      "role": "Imports"
    },
    {
      "package": "purrr",
      "role": "Imports"
    },
    {
      "package": "pvca",
      "role": "Imports"
    },
    {
      "package": "RColorBrewer",
      "role": "Imports"
    },
    {
      "package": "reshape2",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "role": "Imports"
    },
    {
      "package": "scales",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "sva",
      "role": "Imports"
    },
    {
      "package": "tidyr",
      "role": "Imports"
    },
    {
      "package": "tibble",
      "role": "Imports"
    },
    {
      "package": "tools",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "viridis",
      "role": "Imports"
    },
    {
      "package": "wesanderson",
      "role": "Imports"
    },
    {
      "package": "WGCNA",
      "role": "Imports"
    },
    {
      "package": "BiocStyle",
      "role": "Suggests"
    },
    {
      "package": "cowplot",
      "role": "Suggests"
    },
    {
      "package": "ggplotify",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "devtools",
      "role": "Suggests"
    },
    {
      "package": "gtable",
      "role": "Suggests"
    },
    {
      "package": "roxygen2",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    },
    {
      "package": "spelling",
      "role": "Suggests"
    },
    {
      "package": "HDF5Array",
      "role": "Suggests"
    }
  ],
  "_owner": "bioc",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-24",
      "n": 1
    },
    {
      "week": "2025-25",
      "n": 16
    },
    {
      "week": "2025-27",
      "n": 1
    },
    {
      "week": "2025-39",
      "n": 5
    },
    {
      "week": "2025-40",
      "n": 2
    },
    {
      "week": "2025-42",
      "n": 9
    },
    {
      "week": "2025-43",
      "n": 13
    },
    {
      "week": "2026-11",
      "n": 9
    },
    {
      "week": "2026-18",
      "n": 2
    }
  ],
  "_tags": [],
  "_bioc": [
    {
      "branch": "devel",
      "version": "2.1.0",
      "bioc": "3.24"
    },
    {
      "branch": "release",
      "version": "2.0.0",
      "bioc": "3.23"
    }
  ],
  "_topics": [
    "batcheffect",
    "normalization",
    "preprocessing",
    "software",
    "massspectrometry",
    "proteomics",
    "qualitycontrol",
    "visualization"
  ],
  "_stars": 0,
  "_contributors": [
    {
      "user": "symbioticme",
      "count": 5178,
      "uuid": 8040465
    },
    {
      "user": "chloehj",
      "count": 4136,
      "uuid": 43470195
    },
    {
      "user": "ppedrioli",
      "count": 432,
      "uuid": 7585234
    },
    {
      "user": "freddsle",
      "count": 280,
      "uuid": 15180672
    },
    {
      "user": "nturaga",
      "count": 14,
      "uuid": 2746443
    },
    {
      "user": "jwokaty",
      "count": 4,
      "uuid": 1744257
    },
    {
      "user": "lshep",
      "count": 1,
      "uuid": 18724380
    }
  ],
  "_userbio": {
    "uuid": 2286807,
    "type": "organization",
    "name": "Bioconductor",
    "description": "Software for the analysis and comprehension of high-throughput genomic data"
  },
  "_downloads": {
    "count": 88,
    "source": "https://www.bioconductor.org/packages/stats/bioc/proBatch"
  },
  "_mentions": 1,
  "_devurl": "https://github.com/freddsle/probatch",
  "_searchresults": 66,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/proBatch.html",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/freddsle/probatch",
  "_realowner": "bioc",
  "_cranurl": false,
  "_exports": [
    "adjust_batch_trend_df",
    "adjust_batch_trend_dm",
    "calculate_feature_CV",
    "calculate_peptide_corr_distr",
    "calculate_PVCA",
    "calculate_sample_corr_distr",
    "center_feature_batch_means_df",
    "center_feature_batch_means_dm",
    "center_feature_batch_medians_df",
    "center_feature_batch_medians_dm",
    "check_sample_consistency",
    "convert_annotation_classes",
    "correct_batch_effects_df",
    "correct_batch_effects_dm",
    "correct_with_ComBat_df",
    "correct_with_ComBat_dm",
    "correct_with_removeBatchEffect_dm",
    "create_peptide_annotation",
    "date_to_sample_order",
    "dates_to_posix",
    "define_sample_order",
    "fit_nonlinear",
    "generate_colors_for_numeric",
    "get_chain",
    "get_operation_log",
    "guess_factor_columns_if_needed",
    "handle_factor_numeric_overlap",
    "handle_missing_values",
    "log_transform_df",
    "log_transform_dm",
    "long_to_matrix",
    "matrix_to_long",
    "merge_rare_levels",
    "normalize_data_df",
    "normalize_data_dm",
    "normalize_sample_medians_df",
    "normalize_sample_medians_dm",
    "pb_add_level",
    "pb_aggregate_level",
    "pb_as_long",
    "pb_as_wide",
    "pb_assay_matrix",
    "pb_current_assay",
    "pb_eval",
    "pb_filterNA",
    "pb_infIsNA",
    "pb_nNA",
    "pb_pipeline_name",
    "pb_register_step",
    "pb_transform",
    "pb_zeroIsNA",
    "plot_boxplot",
    "plot_corr_matrix",
    "plot_CV_distr",
    "plot_CV_distr.df",
    "plot_heatmap_diagnostic",
    "plot_heatmap_generic",
    "plot_hierarchical_clustering",
    "plot_iRT",
    "plot_NA_density",
    "plot_NA_frequency",
    "plot_NA_heatmap",
    "plot_PCA",
    "plot_peptide_corr_distribution",
    "plot_peptide_corr_distribution.corrDF",
    "plot_peptides_of_one_protein",
    "plot_protein_corrplot",
    "plot_PVCA",
    "plot_PVCA.df",
    "plot_sample_corr_distribution",
    "plot_sample_corr_distribution.corrDF",
    "plot_sample_corr_heatmap",
    "plot_sample_mean",
    "plot_single_feature",
    "plot_spike_in",
    "plot_split_violin_with_boxplot",
    "plot_with_fitting_curve",
    "prepare_PVCA_df",
    "ProBatchFeatures",
    "ProBatchFeatures_from_long",
    "quantile_normalize_df",
    "quantile_normalize_dm",
    "sample_annotation_to_colors",
    "unlog_df",
    "unlog_dm",
    "warn_unmapped_columns"
  ],
  "_datasets": [
    {
      "name": "example_ecoli_data",
      "title": "Example multi-center DIA LFQ E. coli proteomics (DIA-NN)",
      "object": "example_ecoli_data",
      "file": "example_ecoli_data.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "example_peptide_annotation",
      "title": "Peptide annotation data",
      "object": "example_peptide_annotation",
      "file": "example_peptide_annotation.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "peptide_group_label",
        "Gene",
        "ProteinName"
      ],
      "rows": 366,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_proteome",
      "title": "Example protein data in long format",
      "object": "example_proteome",
      "file": "example_proteome.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "peptide_group_label",
        "Intensity",
        "m_score",
        "FullRunName",
        "Protein"
      ],
      "rows": 85278,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_proteome_matrix",
      "title": "Example protein data in matrix",
      "object": "example_proteome_matrix",
      "file": "example_proteome_matrix.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "I170925_BXD101_CD_ET1424_SW_Run002",
        "I170925_BXD101_CD_ET1425_SW_Run010",
        "I170925_BXD102_HF_ET1365_SW_Run007",
        "I170925_BXD29_HF_ET1037_SW_Run009",
        "I170925_BXD48a_CD_ET1189_SW_Run011",
        "I170925_BXD61_CD_ET1725_SW_Run005",
        "I170925_BXD61_HF_ET1721_SW_Run004",
        "I170925_BXD63_HF_ET1715_SW_Run003",
        "I170925_BXD65b_CD_ET1710_SW_Run008",
        "I170925_BXD65b_HF_ET1707_SW_Run006",
        "I170925_BXD66_HF_ET1560_SW_Run001",
        "I170925_DBA2J_CD_ET1818_SW_Run012",
        "I171006_48a_HF_ET1772_SW_Run022",
        "I171006_B6D2F1_CD_ET1227_SW_Run020",
        "I171006_BXD24_HF_ET2259_SW_Run018",
        "I171006_BXD32_CD_ET2494_SW_Run013",
        "I171006_BXD32_CD_ET2495_SW_Run017",
        "I171006_BXD39_HF_ET1474_SW_Run014",
        "I171006_BXD44_HF_ET1687_SW_Run027",
        "I171006_BXD53_HF_ET833_SW_Run023",
        "I171006_BXD53_HF_ET836_SW_Run021",
        "I171006_BXD63_CD_ET1414_SW_Run019",
        "I171006_BXD63_CD_ET1417_SW_Run015",
        "I171006_BXD63_CD_ET1872_SW_Run024",
        "I171006_BXD63_HF_ET1416_SW_Run016",
        "I171006_BXD69_CD_ET1850_SW_Run025",
        "I171006_BXD73_CD_ET1860_SW_Run026",
        "I171007_B6D2F1_CD_ET1568_SW_Run035",
        "I171007_BXD102_HF_ET1366_SW_Run030",
        "I171007_BXD29_CD_ET1044_SW_Run031",
        "I171007_BXD29_CD_ET1045_SW_Run040",
        "I171007_BXD39_CD_ET673_SW_Run041",
        "I171007_BXD44_CD_ET1505_SW_Run038",
        "I171007_BXD44_HF_ET1501_SW_Run036",
        "I171007_BXD45_CD_ET1762_SW_Run033",
        "I171007_BXD62_CD_ET1478_SW_Run037",
        "I171007_BXD63_HF_ET2091_SW_Run029",
        "I171007_BXD87_CD_ET2498_SW_Run028",
        "I171007_BXD90_CD_ET1096_SW_Run034",
        "I171007_C57BL6_CD_ET1590_SW_Run039",
        "I171008_B6D2F1_CD_ET1228_SW_Run047",
        "I171008_B6D2F1_CD_ET1569_SW_Run043",
        "I171008_B6D2F1_HF_ET1230_SW_Run044",
        "I171008_BXD34_CD_ET1054_SW_Run048",
        "I171008_BXD34_CD_ET765_SW_Run049",
        "I171008_BXD39_CD_ET675_SW_Run042",
        "I171008_BXD44_HF_ET1502_SW_Run045",
        "I171008_BXD45_CD_ET1391_SW_Run046",
        "I171009_BXD102_HF_ET1498_SW_Run061",
        "I171009_BXD24_CD_ET1791_SW_Run058",
        "I171009_BXD24_CD_ET1792_SW_Run055",
        "I171009_BXD34_CD_ET1048_SW_Run052",
        "I171009_BXD34_CD_ET766_SW_Run051",
        "I171009_BXD39_HF_1473_SW_Run063",
        "I171009_BXD50_HF_ET1774_SW_Run056",
        "I171009_BXD62_ET1436_SW_Run065",
        "I171009_BXD70_HF_ET1508_SW_Run060",
        "I171009_BXD70_HF_ET1509_SW_Run053",
        "I171009_BXD73_CD_ET1451_SW_Run062",
        "I171009_BXD73_HF_ET1447_SW_Run064",
        "I171009_BXD75_HF_ET1561_SW_Run054",
        "I171009_DBA2J_HF_ET1132_SW_Run059",
        "I171010_BXD102_HF_ET1497_SW_Run067",
        "I171010_BXD27_HF_ET2434_SW_Run074",
        "I171010_BXD34_CD_ET288_SW_Run076",
        "I171010_BXD40_CD_ET680_SW_Run072",
        "I171010_BXD40_HF_ET1593_SW_Run070",
        "I171010_BXD44_CD_ET1504_SW_Run077",
        "I171010_BXD50_HF_ET1919_SW_Run069",
        "I171010_BXD70_CD_ET1512_SW_Run068",
        "I171010_BXD75_HF_ET1562_SW_Run071",
        "I171010_BXD9_HF_ET370_SW_Run073",
        "I171010_BXD98_CD_ET1524_SW_Run079",
        "I171010_D2B6F1_CD_ET1169_SW_Run075",
        "I171010_DBA2J_HF_ET1131_SW_Run066",
        "I171010_DBA2J_HF_ET1142_SW_Run078",
        "I171012_BXD34_CD_ET273_SW_Run087",
        "I171012_BXD40_CD_ET1057_SW_Run086",
        "I171012_BXD90_HF_ET736_SW_Run083",
        "I171012_C57BL6J_HF_ET1254_SW_Run084",
        "I171012_D2B6F1_CD_ET1160_SW_Run085",
        "I171012_D2B6F1_HF_ET1442_SW_Run081",
        "I171012_DBA2J_HF_ET1140_SW_Run082",
        "I171012_DBA2J_HF_ET1141_SW_Run080",
        "I171013_BXD29_CD_ET1040_Run102",
        "I171013_BXD29_HF_ET1531_Run107",
        "I171013_BXD29_HF_ET2349_Run101",
        "I171013_BXD32_HF_ET1137_Run088",
        "I171013_BXD34_HF_ET1052_Run092",
        "I171013_BXD40_CD_ET1691_Run095",
        "I171013_BXD45_HF_ET1831_Run096",
        "I171013_BXD45_HF_ET2161_Run108",
        "I171013_BXD48_CD_ET1835_Run112",
        "I171013_BXD61_CD_ET1841_Run089",
        "I171013_BXD61_CD_ET2145_Run113",
        "I171013_BXD61_HF_ET1843_Run097",
        "I171013_BXD61_HF_ET2148_Run103",
        "I171013_BXD63_HF_ET2090_Run109",
        "I171013_BXD64_CD_ET1199_Run110",
        "I171013_BXD65_CD_ET1787_Run090",
        "I171013_BXD65b_CD_ET1410_Run111",
        "I171013_BXD65b_CD_ET1793_Run104",
        "I171013_BXD65b_CD_ET2108_Run093",
        "I171013_BXD65b_HF_ET1713_Run100",
        "I171013_BXD65b_HF_ET1790_Run098",
        "I171013_BXD68_CD_ET2316_Run099",
        "I171013_BXD70_HF_ET1728_Run114",
        "I171013_BXD77_HF_ET1866_Run091",
        "I171013_BXD87_HF_ET1870_Run105",
        "I171013_BXD89_HF_ET2076_Run106",
        "I171013_BXD90_CD_ET1702_Run094",
        "I171016_BXD101_HF_ET1420_Run119",
        "I171016_BXD39_CD_ET1322_Run116",
        "I171016_BXD43_CD_ET2154_Run120",
        "I171016_BXD51_CD_ET1518_Run126",
        "I171016_BXD51_HF_ET1515_Run121",
        "I171016_BXD65_HF_ET1784_Run127",
        "I171016_BXD73_CD_ET1906_Run128",
        "I171016_BXD73_HF_ET1506_Run122",
        "I171016_BXD89_CD_ET2078_Run115",
        "I171016_BXD9_CD_ET2577_Run123",
        "I171016_BXD95_CD_ET1566_Run117",
        "I171016_BXD99_CD_ET1354_Run118",
        "I171016_C57BL6J_CD_ET1585_Run125",
        "I171016_C57BL6J_HF_ET1681_Run124",
        "I171016_Run131_BXD98_CD_ET1524_CTRL",
        "I171022_Run132_BXD98_CD_ET1524_CTRL",
        "I171022_Run133_BXD89_CD_ET2078",
        "I171022_Run134_BXD39_CD_ET1322",
        "I171022_Run135_BXD95_CD_ET1566",
        "I171022_Run136_BXD99_CD_ET1354",
        "I171022_Run137_BXD101_HF_ET1420",
        "I171022_Run138_BXD43_CD_ET2154",
        "I171022_Run139_BXD51_HF_ET1515",
        "I171022_Run140_BXD73_HF_ET1506",
        "I171022_Run141_BXD9_CD_ET2577",
        "I171022_Run142_C57BL6J_HF_ET1681",
        "I171022_Run143_C57BL6J_CD_ET1585",
        "I171022_Run144_BXD51_CD_ET1518",
        "I171022_Run146_BXD73_CD_ET1906",
        "I171022_Run148_BXD102_HF_ET1358",
        "I171022_Run149_BXD67_CD_ET1344",
        "I171022_Run150_BXD40_HF_ET1488",
        "I171022_Run151_BXD45_CD_ET1826",
        "I171022_Run152_BXD63_HF_ET1716",
        "I171022_Run153_B6D2F1_HF_ET2288",
        "I171022_Run154_BXD73b_CD_ET2089",
        "I171022_Run155_BXD89_HF_ET1321",
        "I171022_Run156_BXD48a_CD_ET70",
        "I171022_Run157_BXD43_HF_ET244",
        "I171022_Run158_BXD65_HF_ET458",
        "I171022_Run159_BXD70_HF_ET188",
        "I171022_Run160_BXD81_CD_ET240",
        "I171022_Run161_BXD89_HF_ET176",
        "I171022_Run162_BXD48_HF_ET1341",
        "I171022_Run163_BXD62_HF_ET1434",
        "I171022_Run164_BXD48a_HF_ET210",
        "I171022_Run165_B6D2F1_HF_ET1445",
        "I171022_Run166_BXD98_CD_ET1524_CTRL",
        "I171025_Run167_BXD101_HF_ET1422",
        "I171025_Run168_BXD102_CD_ET1370",
        "I171025_Run169_BXD44_CD_ET1822",
        "I171025_Run170_BXD32_CD_ET2034",
        "I171025_Run171_BXD48_HF_ET2046",
        "I171025_Run172_BXD48_CD_ET2054",
        "I171025_Run173_BXD49_HF_ET2056",
        "I171025_Run174_BXD102_HF_ET1694",
        "I171025_Run175_D2B6F1_HF_ET2008",
        "I171025_Run176_BXD62_CD_ET1847",
        "I171025_Run177_BXD44_HF_ET1825",
        "I171025_Run178_BXD43_HF_ET1326",
        "I171025_Run179_C57BL6J_CD_ET1106",
        "I171025_Run180_BXD32_HF_ET2030",
        "I171025_Run181_BXD66_HF_ET2124",
        "I171025_Run182_BXD50_CD_ET2132",
        "I171025_Run183_C57BL6J_HF_ET1266",
        "I171025_Run184_BXD73_HF_ET2071",
        "I171025_Run185_D2B6F1_HF_ET1438",
        "I171025_Run186_BXD65b_HF_ET1597",
        "I171025_Run188_BXD70_CD_ET1487",
        "I171025_Run189_BXD77_CD_ET1398",
        "I171025_Run190_BXD95_CD_ET1564",
        "I171025_Run191_BXD73b_HF_ET1545",
        "I171025_Run192_BXD73b_CD_ET1466",
        "I171025_Run195_BXD102_CD_ET1697",
        "I171025_Run197_BXD100_HF_ET2085",
        "I171025_Run198_BXD102_CD_ET1499",
        "I171025_Run199_BXD73b_HF_ET1180",
        "I171025_Run200_BXD98_CD_ET1524",
        "I171028_Run201_C57BL6J_CD_ET1103",
        "I171028_Run202_BXD60_CD_ET236",
        "I171028_Run203_BXD68_CD_ET1068",
        "I171028_Run204_BXD100_CD_ET247",
        "I171028_Run205_BXD100_CD_ET248",
        "I171028_Run206_BXD79_CD_ET825",
        "I171028_Run207_BXD100_CD_ET1213",
        "I171028_Run208_BXD102_CD_ET448",
        "I171028_Run209_DBA2J_CD_ET1147",
        "I171028_Run210_BXD65_CD_ET1283",
        "I171028_Run211_BXD73b_HF_ET1197",
        "I171028_Run212_BXD68_HF_ET1071",
        "I171028_Run213_BXD69_HF_ET1087",
        "I171028_Run214_BXD100_HF_ET1193",
        "I171028_Run216_BXD102_CD_ET1363",
        "I171028_Run218_BXD68_CD_ET1080",
        "I171028_Run219_BXD68_HF_ET1082",
        "I171028_Run220_BXD13_CD_ET1333",
        "I171028_Run221_BXD73b_CD_ET184",
        "I171028_Run222_BXD73b_HF_ET183",
        "I171028_Run223_BXD100_CD_ET1190",
        "I171028_Run224_BXD100_CD_ET1240",
        "I171028_Run225_BXD79_HF_ET1428",
        "I171028_Run226_BXD79_CD_ET1555",
        "I171101_Run229_BXD98_CD_ET1524",
        "I171101_Run230_BXD65_CD_ET2098",
        "I171101_Run231_BXD68_CD_ET1899",
        "I171101_Run232_BXD66_CD_ET2128",
        "I171101_Run233_BXD69_CD_ET2142",
        "I171101_Run234_BXD60_CD_ET235",
        "I171101_Run235_BXD66_CD_ET224",
        "I171101_Run236_BXD102_CD_ET229",
        "I171101_Run237_BXD73b_CD_ET267",
        "I171101_Run239_BXD69_HF_ET574",
        "I171101_Run241_BXD84_HF_ET559",
        "I171101_Run242_BXD69_CD_ET591",
        "I171101_Run243_BXD79_HF_ET583",
        "I171101_Run244_C57BL6J_CD_ET691",
        "I171101_Run245_BXD91_CD_ET883",
        "I171101_Run246_BXD91_HF_ET881",
        "I171101_Run247_BXD65_CD_ET807",
        "I171101_Run248_BXD9_CD_ET365",
        "I171101_Run249_BXD48_CD_ET4",
        "I171101_Run250_BXD98_CD_ET1524"
      ],
      "rows": 366,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_sample_annotation",
      "title": "Sample annotation data version 1",
      "object": "example_sample_annotation",
      "file": "example_sample_annotation.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "FullRunName",
        "MS_batch",
        "EarTag",
        "Strain",
        "Diet",
        "Sex",
        "RunDate",
        "RunTime",
        "DateTime",
        "order",
        "digestion_batch"
      ],
      "rows": 233,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "ProBatchFeatures-subset",
      "title": "Subset `ProBatchFeatures` objects without dropping metadata.",
      "topics": [
        "ProBatchFeatures-subset",
        "[,ProBatchFeatures,ANY,ANY,ANY-method"
      ]
    },
    {
      "page": "calculate_feature_CV",
      "title": "Calculate CV distribution for each feature",
      "topics": [
        "calculate_feature_CV"
      ]
    },
    {
      "page": "calculate_peptide_corr_distr",
      "title": "Calculate peptide correlation between and within peptides of one protein",
      "topics": [
        "calculate_peptide_corr_distr"
      ]
    },
    {
      "page": "calculate_PVCA",
      "title": "Calculate variance distribution by variable",
      "topics": [
        "calculate_PVCA",
        "calculate_PVCA.default",
        "calculate_PVCA.ProBatchFeatures"
      ]
    },
    {
      "page": "calculate_sample_corr_distr",
      "title": "Calculates correlation for all pairs of the samples in data matrix, labels as replicated/same_batch/unrelated in output columns (see \"Value\").",
      "topics": [
        "calculate_sample_corr_distr"
      ]
    },
    {
      "page": "check_sample_consistency",
      "title": "Check if sample annotation is consistent with data matrix and join the two",
      "topics": [
        "check_sample_consistency"
      ]
    },
    {
      "page": "convert_annotation_classes",
      "title": "Convert factor and numeric columns",
      "topics": [
        "convert_annotation_classes"
      ]
    },
    {
      "page": "correct_batch_effects",
      "title": "Batch correction of normalized data",
      "topics": [
        "adjust_batch_trend_df",
        "adjust_batch_trend_dm",
        "center_feature_batch_means_df",
        "center_feature_batch_means_dm",
        "center_feature_batch_medians_df",
        "center_feature_batch_medians_dm",
        "correct_batch_effects",
        "correct_batch_effects_df",
        "correct_batch_effects_dm",
        "correct_with_ComBat_df",
        "correct_with_ComBat_dm"
      ]
    },
    {
      "page": "correct_with_removeBatchEffect_dm",
      "title": "Batch effect correction with removeBatchEffect from limma",
      "topics": [
        "correct_with_removeBatchEffect_dm"
      ]
    },
    {
      "page": "create_peptide_annotation",
      "title": "Prepare peptide annotation from long format data frame",
      "topics": [
        "create_peptide_annotation"
      ]
    },
    {
      "page": "date_to_sample_order",
      "title": "Convert date/time to POSIXct and rank samples by it",
      "topics": [
        "date_to_sample_order"
      ]
    },
    {
      "page": "dates_to_posix",
      "title": "Convert date/time to POSIXct",
      "concept": [
        "date"
      ],
      "topics": [
        "dates_to_posix"
      ]
    },
    {
      "page": "define_sample_order",
      "title": "Defining sample order internally",
      "topics": [
        "define_sample_order"
      ]
    },
    {
      "page": "example_ecoli_data",
      "title": "Example multi-center DIA LFQ E. coli proteomics (DIA-NN)",
      "topics": [
        "example_ecoli_data"
      ]
    },
    {
      "page": "example_peptide_annotation",
      "title": "Peptide annotation data",
      "topics": [
        "example_peptide_annotation"
      ]
    },
    {
      "page": "example_proteome",
      "title": "Example protein data in long format",
      "topics": [
        "example_proteome"
      ]
    },
    {
      "page": "example_proteome_matrix",
      "title": "Example protein data in matrix",
      "topics": [
        "example_proteome_matrix"
      ]
    },
    {
      "page": "example_sample_annotation",
      "title": "Sample annotation data version 1",
      "topics": [
        "example_sample_annotation"
      ]
    },
    {
      "page": "feature_level_diagnostics",
      "title": "Plotting peptide measurements",
      "topics": [
        "feature_level_diagnostics",
        "plot_iRT",
        "plot_peptides_of_one_protein",
        "plot_single_feature",
        "plot_spike_in",
        "plot_with_fitting_curve"
      ]
    },
    {
      "page": "fit_nonlinear",
      "title": "Fit a non-linear trend (currently optimized for LOESS)",
      "topics": [
        "fit_nonlinear"
      ]
    },
    {
      "page": "get_chain",
      "title": "Retrieve operation chain as vector or single string \"combat_on_mediannorm_on_log\"",
      "topics": [
        "get_chain"
      ]
    },
    {
      "page": "get_operation_log",
      "title": "Access the operation log (structured)",
      "topics": [
        "get_operation_log"
      ]
    },
    {
      "page": "guess_factor_columns_if_needed",
      "title": "Guess factors if numeric columns were not provided",
      "topics": [
        "guess_factor_columns_if_needed"
      ]
    },
    {
      "page": "handle_factor_numeric_overlap",
      "title": "Handle factor columns that are duplicated in numeric_columns",
      "topics": [
        "handle_factor_numeric_overlap"
      ]
    },
    {
      "page": "handle_missing_values",
      "title": "Handle missing values in a data matrix",
      "topics": [
        "handle_missing_values"
      ]
    },
    {
      "page": "long_to_matrix",
      "title": "Long to wide data format conversion",
      "concept": [
        "matrix manipulation functions"
      ],
      "topics": [
        "long_to_matrix"
      ]
    },
    {
      "page": "matrix_to_long",
      "title": "Wide to long conversion",
      "concept": [
        "matrix manipulation functions"
      ],
      "topics": [
        "matrix_to_long"
      ]
    },
    {
      "page": "normalize",
      "title": "Data normalization methods",
      "topics": [
        "normalize",
        "normalize_data_df",
        "normalize_data_dm",
        "normalize_sample_medians_df",
        "normalize_sample_medians_dm",
        "quantile_normalize_df",
        "quantile_normalize_dm"
      ]
    },
    {
      "page": "pb_add_level",
      "title": "Add a new level from an external matrix and link to an existing assay",
      "topics": [
        "pb_add_level"
      ]
    },
    {
      "page": "pb_aggregate_level",
      "title": "Aggregate features (e.g., peptide -> protein) and store as new level",
      "topics": [
        "pb_aggregate_level"
      ]
    },
    {
      "page": "pb_as_long",
      "title": "Get current assay as LONG (via proBatch::matrix_to_long)",
      "topics": [
        "pb_as_long"
      ]
    },
    {
      "page": "pb_as_wide",
      "title": "Get an assay matrix (wide)",
      "topics": [
        "pb_as_wide"
      ]
    },
    {
      "page": "pb_assay_matrix",
      "title": "Convenience accessor for assay matrix by name/index (returns the 'intensity' assay)",
      "topics": [
        "pb_assay_matrix"
      ]
    },
    {
      "page": "pb_current_assay",
      "title": "Current (latest) assay name",
      "topics": [
        "pb_current_assay"
      ]
    },
    {
      "page": "pb_eval",
      "title": "Evaluate a pipeline and return the matrix, without storing",
      "topics": [
        "pb_eval"
      ]
    },
    {
      "page": "pb_missing_helpers",
      "title": "Apply `QFeatures` missing-data helpers to stored assays",
      "topics": [
        "pb_filterNA",
        "pb_infIsNA",
        "pb_missing_helpers",
        "pb_nNA",
        "pb_zeroIsNA"
      ]
    },
    {
      "page": "pb_pipeline_name",
      "title": "Pretty pipeline name derived from the assay",
      "topics": [
        "pb_pipeline_name"
      ]
    },
    {
      "page": "pb_register_step",
      "title": "Allow to register/override steps at runtime (e.g., map \"combat\" -> proBatch::combat_dm)",
      "topics": [
        "pb_register_step"
      ]
    },
    {
      "page": "pb_transform",
      "title": "Compute a pipeline and optionally store only the final result",
      "topics": [
        "pb_transform"
      ]
    },
    {
      "page": "plot_corr_matrix",
      "title": "Visualise correlation matrix",
      "topics": [
        "plot_corr_matrix"
      ]
    },
    {
      "page": "plot_CV_distr",
      "title": "Plot CV distribution to compare various steps of the analysis",
      "topics": [
        "plot_CV_distr"
      ]
    },
    {
      "page": "plot_CV_distr.df",
      "title": "Plot the distribution (boxplots) of per-batch per-step CV of features",
      "topics": [
        "plot_CV_distr.df"
      ]
    },
    {
      "page": "plot_heatmap_diagnostic",
      "title": "Plot the heatmap of samples (cols) vs features (rows)",
      "topics": [
        "plot_heatmap_diagnostic",
        "plot_heatmap_diagnostic.default",
        "plot_heatmap_diagnostic.ProBatchFeatures"
      ]
    },
    {
      "page": "plot_heatmap_generic",
      "title": "Plot the heatmap",
      "topics": [
        "plot_heatmap_generic",
        "plot_heatmap_generic.default",
        "plot_heatmap_generic.ProBatchFeatures"
      ]
    },
    {
      "page": "plot_hierarchical_clustering",
      "title": "cluster the data matrix to visually inspect which confounder dominates",
      "topics": [
        "plot_hierarchical_clustering",
        "plot_hierarchical_clustering.default",
        "plot_hierarchical_clustering.ProBatchFeatures"
      ]
    },
    {
      "page": "plot_NA_density",
      "title": "Plot intensity density by missingness",
      "topics": [
        "plot_NA_density",
        "plot_NA_density.default",
        "plot_NA_density.ProBatchFeatures"
      ]
    },
    {
      "page": "plot_NA_frequency",
      "title": "Plot missing-value frequency distribution",
      "topics": [
        "plot_NA_frequency",
        "plot_NA_frequency.default",
        "plot_NA_frequency.ProBatchFeatures"
      ]
    },
    {
      "page": "plot_NA_heatmap",
      "title": "Plot missing-value heatmap(s)",
      "topics": [
        "plot_NA_heatmap",
        "plot_NA_heatmap.default",
        "plot_NA_heatmap.ProBatchFeatures"
      ]
    },
    {
      "page": "plot_PCA",
      "title": "plot PCA plot",
      "topics": [
        "plot_PCA",
        "plot_PCA.default",
        "plot_PCA.ProBatchFeatures"
      ]
    },
    {
      "page": "plot_peptide_corr_distribution",
      "title": "Create violin plot of peptide correlation distribution",
      "topics": [
        "plot_peptide_corr_distribution",
        "plot_peptide_corr_distribution.corrDF"
      ]
    },
    {
      "page": "plot_protein_corrplot",
      "title": "Peptide correlation matrix (heatmap)",
      "topics": [
        "plot_protein_corrplot"
      ]
    },
    {
      "page": "plot_PVCA",
      "title": "Plot variance distribution by variable",
      "topics": [
        "plot_PVCA",
        "plot_PVCA.default",
        "plot_PVCA.ProBatchFeatures"
      ]
    },
    {
      "page": "plot_PVCA.df",
      "title": "plot PVCA, when the analysis is completed",
      "topics": [
        "plot_PVCA.df"
      ]
    },
    {
      "page": "plot_sample_corr_distribution",
      "title": "Create violin plot of sample correlation distribution",
      "topics": [
        "plot_sample_corr_distribution",
        "plot_sample_corr_distribution.corrDF"
      ]
    },
    {
      "page": "plot_sample_corr_heatmap",
      "title": "Sample correlation matrix (heatmap)",
      "topics": [
        "plot_sample_corr_heatmap"
      ]
    },
    {
      "page": "plot_sample_mean_or_boxplot",
      "title": "Plot per-sample mean or boxplots for initial assessment",
      "topics": [
        "plot_boxplot",
        "plot_boxplot.default",
        "plot_boxplot.ProBatchFeatures",
        "plot_sample_mean",
        "plot_sample_mean.default",
        "plot_sample_mean.ProBatchFeatures",
        "plot_sample_mean_or_boxplot"
      ]
    },
    {
      "page": "plot_split_violin_with_boxplot",
      "title": "Plot split violin plot (convenient to compare distribution before and after)",
      "topics": [
        "plot_split_violin_with_boxplot"
      ]
    },
    {
      "page": "prepare_PVCA_df",
      "title": "prepare the weights of Principal Variance Components",
      "topics": [
        "prepare_PVCA_df",
        "prepare_PVCA_df.default",
        "prepare_PVCA_df.ProBatchFeatures"
      ]
    },
    {
      "page": "proBatch",
      "title": "proBatch: A package for diagnostics and correction of batch effects, primarily in proteomics",
      "topics": [
        "proBatch-package",
        "proBatch"
      ]
    },
    {
      "page": "ProBatchFeatures",
      "title": "Construct a ProBatchFeatures object from a wide matrix + sample annotation.",
      "topics": [
        "ProBatchFeatures"
      ]
    },
    {
      "page": "ProBatchFeatures_from_long",
      "title": "Construct from LONG df via proBatch::long_to_matrix",
      "topics": [
        "ProBatchFeatures_from_long"
      ]
    },
    {
      "page": "ProBatchFeatures-class",
      "title": "ProBatchFeatures: QFeatures subclass with operation log, levels/pipelines, and lazy storage",
      "topics": [
        "ProBatchFeatures-class"
      ]
    },
    {
      "page": "sample_annotation_to_colors",
      "title": "Generate colors for sample annotation",
      "topics": [
        "sample_annotation_to_colors",
        "sample_annotation_to_colors.default",
        "sample_annotation_to_colors.ProBatchFeatures"
      ]
    },
    {
      "page": "transform_raw_data",
      "title": "Functions to log transform raw data before normalization and batch correction",
      "topics": [
        "log_transform_df",
        "log_transform_dm",
        "log_transform_dm.default",
        "log_transform_dm.ProBatchFeatures",
        "transform_raw_data",
        "unlog_df",
        "unlog_dm",
        "unlog_dm.default",
        "unlog_dm.ProBatchFeatures"
      ]
    },
    {
      "page": "warn_unmapped_columns",
      "title": "Warn about unmapped columns",
      "topics": [
        "warn_unmapped_columns"
      ]
    }
  ],
  "_readme": "https://github.com/bioc/proBatch/raw/HEAD/README.md",
  "_rundeps": [
    "abind",
    "affy",
    "affyio",
    "annotate",
    "AnnotationDbi",
    "AnnotationFilter",
    "askpass",
    "backports",
    "base64enc",
    "BH",
    "Biobase",
    "BiocBaseUtils",
    "BiocGenerics",
    "BiocManager",
    "BiocParallel",
    "Biostrings",
    "bit",
    "bit64",
    "blob",
    "boot",
    "bslib",
    "cachem",
    "checkmate",
    "cli",
    "clue",
    "cluster",
    "codetools",
    "colorspace",
    "corrplot",
    "cpp11",
    "crayon",
    "crosstalk",
    "curl",
    "data.table",
    "DBI",
    "DelayedArray",
    "digest",
    "doParallel",
    "dplyr",
    "dynamicTreeCut",
    "edgeR",
    "evaluate",
    "farver",
    "fastcluster",
    "fastmap",
    "fontawesome",
    "foreach",
    "foreign",
    "formatR",
    "Formula",
    "fs",
    "futile.logger",
    "futile.options",
    "genefilter",
    "generics",
    "GenomicRanges",
    "ggfortify",
    "ggplot2",
    "glue",
    "gridExtra",
    "gtable",
    "highr",
    "Hmisc",
    "htmlTable",
    "htmltools",
    "htmlwidgets",
    "httr",
    "igraph",
    "impute",
    "IRanges",
    "isoband",
    "iterators",
    "jquerylib",
    "jsonlite",
    "KEGGREST",
    "knitr",
    "labeling",
    "lambda.r",
    "later",
    "lattice",
    "lazyeval",
    "lifecycle",
    "limma",
    "lme4",
    "locfit",
    "lubridate",
    "magrittr",
    "MASS",
    "Matrix",
    "MatrixGenerics",
    "matrixStats",
    "memoise",
    "mgcv",
    "mime",
    "minqa",
    "MsCoreUtils",
    "MultiAssayExperiment",
    "nlme",
    "nloptr",
    "nnet",
    "openssl",
    "otel",
    "pheatmap",
    "pillar",
    "pkgconfig",
    "plotly",
    "plyr",
    "png",
    "preprocessCore",
    "promises",
    "ProtGenerics",
    "purrr",
    "pvca",
    "QFeatures",
    "R6",
    "rappdirs",
    "rbibutils",
    "RColorBrewer",
    "Rcpp",
    "RcppEigen",
    "Rdpack",
    "reformulas",
    "reshape2",
    "rlang",
    "rmarkdown",
    "rpart",
    "RSQLite",
    "rstudioapi",
    "S4Arrays",
    "S4Vectors",
    "S7",
    "sass",
    "scales",
    "Seqinfo",
    "snow",
    "SparseArray",
    "statmod",
    "stringi",
    "stringr",
    "SummarizedExperiment",
    "survival",
    "sva",
    "sys",
    "tibble",
    "tidyr",
    "tidyselect",
    "timechange",
    "tinytex",
    "utf8",
    "vctrs",
    "viridis",
    "viridisLite",
    "vsn",
    "wesanderson",
    "WGCNA",
    "withr",
    "xfun",
    "XML",
    "xtable",
    "XVector",
    "yaml"
  ],
  "_vignettes": [
    {
      "source": "proBatch.Rmd",
      "filename": "proBatch.html",
      "title": "proBatch",
      "author": "| Jelena Čuklina, Chloe H. Lee, Patrick Pedrioli and Ruedi Aebersold | Institute of Molecular Systems Biology, Department of Biology, ETH Zurich, Switzerland",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Batch effects analysis in large-scale data",
        "Analysis of large-scale data: steps before and after batch correction",
        "Preparation for the analysis",
        "IInstallation",
        "Preparing the data for analysis",
        "Loading the libraries",
        "Input data formats",
        "Example dataset",
        "Preparing sample and peptide annotations",
        "Defining the order of samples from running date and time",
        "Generating peptide annotation from OpenSWATH data",
        "Other utility functions",
        "Transforming the data to long or wide format",
        "Transforming the data to log scale",
        "Defining the color scheme",
        "Step-by-step workflow",
        "Initial assessment of the raw data matrix",
        "Plotting the sample mean",
        "Plotting boxplots",
        "Normalization",
        "Median normalization",
        "Quantile normalization",
        "Diagnostics of batch effects in normalized data",
        "Hierarchical clustering",
        "Principal component analysis (PCA)",
        "Principal variance component analysis (PVCA)",
        "Peptide-level diagnostics and spike-ins",
        "Correction of batch effects",
        "Continuous drift correction",
        "Discrete batch correction: combat or peptide-level median centering",
        "Feature-level median centering",
        "ComBat",
        "Correct batch effects: universal function",
        "Quality control on batch-corrected data matrix",
        "Heatmap of selected replicate samples",
        "Correlation distribution of samples",
        "Correlation of peptide distributions within and between proteins",
        "SessionInfo",
        "Citation",
        "References"
      ],
      "created": "2019-09-30 11:13:04",
      "modified": "2026-03-10 17:06:42",
      "commits": 10
    },
    {
      "source": "proBatchFeatures.Rmd",
      "filename": "proBatchFeatures.html",
      "title": "ProBatchFeatures",
      "author": "| Yuliya Burankova | Institute for Computational Systems Biology, University of Hamburg, Germany",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Setup",
        "Installation",
        "Loading required packages",
        "Loading and preparing the example dataset",
        "Constructing a ProBatchFeatures object",
        "Processing pipeline with diagnostics",
        "Step 1 - filtering features with too many missing values",
        "Step 2 - log2-transformation",
        "Step 3 - median normalization",
        "Step 4 - batch-effect correction",
        "Step 5 - assess processed assays",
        "Principal component analysis",
        "Hierarchical clustering",
        "Principal Variance Component Analysis (PVCA)",
        "Inspecting operation log",
        "Extracting data matrices from pbf object",
        "Session info",
        "Citation",
        "References"
      ],
      "created": "2025-09-28 17:16:39",
      "modified": "2026-03-10 17:06:42",
      "commits": 12
    }
  ],
  "_score": 6.551937695364837,
  "_indexed": true,
  "_nocasepkg": "probatch",
  "_universes": [
    "bioc",
    "freddsle"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "2.1.0",
      "date": "2026-05-30T07:14:34.000Z",
      "distro": "noble",
      "commit": "d27d5f9af326270032ade3e5c1d5e65adb139f48",
      "fileid": "a8d07676f45b1b90f17c06a7fa2df34a2a776b5bcf7f2df52dfb409ee70f83f0",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/26677561944"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "2.1.0",
      "date": "2026-05-30T07:14:44.000Z",
      "distro": "noble",
      "commit": "d27d5f9af326270032ade3e5c1d5e65adb139f48",
      "fileid": "b1f069a9401b61b42a59ee4aee48fd642c68fcec7d22a4308600e5be57b6b62d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/26677561944"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "2.1.0",
      "date": "2026-05-30T09:42:59.000Z",
      "commit": "d27d5f9af326270032ade3e5c1d5e65adb139f48",
      "fileid": "b0ea64f5c45791e225f2c459f977cac90401c6224ed0cb0fa9aaea0d21387040",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/26677561944"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "2.1.0",
      "date": "2026-05-30T09:44:47.000Z",
      "commit": "d27d5f9af326270032ade3e5c1d5e65adb139f48",
      "fileid": "0c26fecc8d9c966b7396245fc2e76419e7326d75cc8f2b740e906274db6fbc7c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/26677561944"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "2.1.0",
      "date": "2026-05-30T07:13:53.000Z",
      "commit": "d27d5f9af326270032ade3e5c1d5e65adb139f48",
      "fileid": "7839bd4f1e9769c20e9d6ad62b27df9cb978cef6655d8b7fe92e4c106e22778a",
      "status": "success",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/26677561944"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "2.1.0",
      "date": "2026-05-30T07:11:50.000Z",
      "commit": "d27d5f9af326270032ade3e5c1d5e65adb139f48",
      "fileid": "57c00600a944b4332d9cc5cda27f803be7a0fd4bfb34a4151c18de4c2aabc76a",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/26677561944"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "2.1.0",
      "date": "2026-05-30T07:12:06.000Z",
      "commit": "d27d5f9af326270032ade3e5c1d5e65adb139f48",
      "fileid": "9a128b2807dd2da5db086a7de90e789b99168a4f060ac9945cb31b024abb95f9",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/26677561944"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "2.1.0",
      "date": "2026-05-30T07:11:52.000Z",
      "commit": "d27d5f9af326270032ade3e5c1d5e65adb139f48",
      "fileid": "88daedda97bdf0d0796269b88f458c0c9df6b0a7588857c5a57e6d0186c7f9e8",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/bioc/actions/runs/26677561944"
    }
  ]
}