{
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  "Package": "REMP",
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  "Title": "Repetitive Element Methylation Prediction",
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  "Authors@R": "c(person(\"Yinan\",\"Zheng\", role = c(\"aut\",\"cre\"), email = \"y-zheng@northwestern.edu\"),person(\"Lei\",\"Liu\", role = c(\"aut\"), email = \"lei.liu@northwestern.edu \"), person(\"Wei\",\"Zhang\", role = c(\"aut\"), email = \"wei.zhang1@northwestern.edu\"), person(\"Warren\",\"Kibbe\", role = c(\"aut\"), email = \"warren.kibbe@nih.gov\"), person(\"Lifang\",\"Hou\", role = c(\"aut\",\"cph\"), email = \"l-hou@northwestern.edu\"))",
  "Description": "Machine learning-based tools to predict DNA methylation of\nlocus-specific repetitive elements (RE) by learning surrounding\ngenetic and epigenetic information. These tools provide\ngenomewide and single-base resolution of DNA methylation\nprediction on RE that are difficult to measure using\narray-based or sequencing-based platforms, which enables\nepigenome-wide association study (EWAS) and differentially\nmethylated region (DMR) analysis on RE.",
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  "Date/Publication": "2026-04-28 12:45:06 UTC",
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