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  "Title": "Comprehensive Batch Effect Diagnostics and Harmonization",
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  "Authors@R": "c(\nperson(\"Zheng\", \"Ren\", email = \"zren1422@gmail.com\", role = c(\"aut\", \"cre\", \"cph\"), comment = c(ORCID = \"0009-0006-2430-4625\")),\nperson(\"Andrew\", \"Chen\", email = \"chen1764@gmail.com\", role = c(\"aut\", \"cph\"), comment = c(ORCID = \"0000-0002-5027-6422\")),\nperson(\"Elizabeth\", \"Horwath\", email = \"elizabeth.horwath@pennmedicine.upenn.edu\", role = c(\"ctb\"), comment = c(ORCID = \"0009-0009-1224-6984\"))\n)",
  "Description": "Provides a comprehensive framework for batch effect\ndiagnostics, harmonization, and post-harmonization downstream\nanalysis. Features include interactive visualization tools,\nrobust statistical tests, and a range of harmonization\ntechniques. Additionally, 'ComBatFamQC' enables the creation of\nlife-span age trend plots with estimated age-adjusted centiles\nand facilitates the generation of covariate-corrected residuals\nfor analytical purposes. Methods for harmonization are based on\napproaches described in Johnson et al., (2007)\n<doi:10.1093/biostatistics/kxj037>, Beer et al., (2020)\n<doi:10.1016/j.neuroimage.2020.117129>, Pomponio et al., (2020)\n<doi:10.1016/j.neuroimage.2019.116450>, and Chen et al., (2021)\n<doi:10.1002/hbm.25688>.",
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  "Repository": "https://zheng206.r-universe.dev",
  "Date/Publication": "2025-09-02 02:37:31 UTC",
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  "Author": "Zheng Ren [aut, cre, cph] (ORCID:\n<https://orcid.org/0009-0006-2430-4625>),\nAndrew Chen [aut, cph] (ORCID: <https://orcid.org/0000-0002-5027-6422>),\nElizabeth Horwath [ctb] (ORCID:\n<https://orcid.org/0009-0009-1224-6984>)",
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