{ "_id": "6aabd03b3d719c1f8406f3a7", "Package": "metabCombiner", "Version": "1.23.0", "Date": "2024-05-23", "Title": "Method for Combining LC-MS Metabolomics Feature Measurements", "Authors@R": "c(\nperson(\"Hani\", \"Habra\", email = \"hhabra1@gmail.com\",role = c(\"aut\",\"cre\")),\nperson(\"Alla\", \"Karnovsky\", email = \"akarnovs@med.umich.edu\", role = \"ths\"))", "License": "GPL-3", "Description": "This package aligns LC-HRMS metabolomics datasets acquired\nfrom biologically similar specimens analyzed under similar, but\nnot necessarily identical, conditions. Peak-picked and simply\naligned metabolomics feature tables (consisting of m/z, rt, and\nper-sample abundance measurements, plus optional identifiers &\nadduct annotations) are accepted as input. The package outputs\na combined table of feature pair alignments, organized into\ngroups of similar m/z, and ranked by a similarity score. Input\ntables are assumed to be acquired using similar (but not\nnecessarily identical) analytical methods.", "BugReports": "https://www.github.com/hhabra/metabCombiner/issues", "NeedsCompilation": "yes", "RoxygenNote": "7.1.1", "Encoding": "UTF-8", "Collate": "'adjustData.R' 'batchCombine.R' 'calcScores.R' 'check_pars.R'\n'classes.R' 'combinerCheck.R' 'compare_strings.R' 'data.R'\n'detectFields.R' 'evaluateParams.R' 'fit_model.R' 'form.R'\n'generics.R' 'labelRows.R' 'metabCombine.R' 'metabCombiner.R'\n'metabCombiner_package_doc.R' 'metabData.R'\n'methods-featdata.R' 'methods-metabCombiner.R'\n'methods-metabData.R' 'mzGroup.R' 'params.R' 'plot_fit.R'\n'resolveRows.R' 'selectAnchors.R' 'updateTables.R'\n'write2file.R' 'zzz.R'", "VignetteBuilder": "knitr", "biocViews": "Software, MassSpectrometry, Metabolomics", "LazyData": "false", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-04-28 12:54:08 UTC", "RemoteUrl": "https://github.com/bioc/metabCombiner", "RemoteRef": "HEAD", "RemoteSha": "24679206185bf2e4ab000a1b5dcc22a127637c12", "Packaged": { "Date": "2026-09-17 10:28:22 UTC", "User": "root" }, "Author": "Hani Habra [aut, cre],\nAlla Karnovsky [ths]", "Maintainer": "Hani Habra ", "_user": "bioc", "_type": "src", "_file": "metabCombiner_1.23.0.tar.gz", "_fileid": "https://r2.ropensci.org/db46378ec5df8781142d5edc0d1327cd039d483adf313a3be6b0a94aa739b2c5", "_filesize": 2803268, "_sha256": "db46378ec5df8781142d5edc0d1327cd039d483adf313a3be6b0a94aa739b2c5", "_expires": "2026-12-26T11:33:56.000Z", "_created": "2026-09-17T10:28:22.000Z", "_published": "2026-09-17T11:34:19.649Z", "_bioccheck": { "error": 0, "warning": 3, "note": 12 }, "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/bioc/actions/runs/35210344704", "_status": "success", "_upstream": "https://github.com/bioc/metabCombiner", "_commit": { "id": "24679206185bf2e4ab000a1b5dcc22a127637c12", "author": "A Wokaty ", "committer": "A Wokaty ", "message": "bump x.y.z version to odd y following creation of RELEASE_3_23 branch\n", "time": 1777380848 }, "_maintainer": { "name": "Hani Habra", "email": "hhabra1@gmail.com", "login": "hhabra", "description": "PhD in Computational Medicine & Bioinformatics. 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[ "combinedTable", "combinedTable,metabCombiner-method" ] }, { "page": "combinerCheck", "title": "Obtain Errors for metabCombiner Object Checks", "topics": [ "combinerCheck" ] }, { "page": "crossValFit", "title": "Cross Validation for Model Fits", "topics": [ "crossValFit" ] }, { "page": "datasets", "title": "Obtain Dataset IDs", "topics": [ "datasets", "datasets,metabCombiner-method" ] }, { "page": "detectFields", "title": "Detect metabData Input Columns", "topics": [ "detectFields" ] }, { "page": "evaluateParams", "title": "Evaluate Similarity Score Parameters", "topics": [ "evaluateParams" ] }, { "page": "featdata", "title": "Obtain Feature Metadata", "topics": [ "featData", "featData,metabCombiner-method" ] }, { "page": "filterAnchors", "title": "Filter Outlier Ordered Pairs", "topics": [ "filterAnchors" ] }, { "page": "filtered", "title": "Retrieve Filtered Features", "topics": [ "filtered", "filtered,metabData-method" ] }, { "page": "filterRT", "title": "Filter Features by 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