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  "Title": "Epigenetic Dissection of Intra-Sample-Heterogeneity",
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  "Description": "EpiDISH is a R package to infer the proportions of a\npriori known cell-types present in a sample representing a\nmixture of such cell-types. Right now, the package can be used\non DNAm data of blood-tissue of any age, from birth to old-age,\ngeneric epithelial tissue and breast tissue. Besides, the\npackage provides a function that allows the identification of\ndifferentially methylated cell-types and their directionality\nof change in Epigenome-Wide Association Studies.",
  "Date": "2026-03-13",
  "Authors@R": "c(person(\"Andrew E.\", \"Teschendorff\", role=c(\"aut\"), email=\"andrew@picb.ac.cn\"),\nperson(\"Shijie C.\", \"Zheng\", role=c(\"aut\", \"cre\"), email=\"shijieczheng@gmail.com\"))",
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  "biocViews": "DNAMethylation, MethylationArray, Epigenetics,\nDifferentialMethylation, ImmunoOncology",
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  "Repository": "https://bioc.r-universe.dev",
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  "Author": "Andrew E. Teschendorff [aut],\nShijie C. Zheng [aut, cre]",
  "Maintainer": "Shijie C. Zheng <shijieczheng@gmail.com>",
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      "author": "Shijie C. Zheng, Andrew E. Teschendorff",
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        "How to estimate generic cell-type fractions in a solid tissue",
        "How to estimate immune cell-type fractions in a solid tissue using HEpiDISH",
        "More info about different methods for cell-type fractions estimation",
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