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  "Title": "Identify Individuals with Unusual Geo-Genetic Patterns",
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  "Authors@R": "c(person(given = \"Che-Wei\",\nfamily = \"Chang\",\nrole = c(\"aut\", \"cre\"),\nemail = \"cheweichang92@gmail.com\",\ncomment = c(ORCID = \"0000-0001-6704-3732\")),\nperson(given = \"Karl\",\nfamily = \"Schmid\",\nrole = c(\"ths\"),\nemail = \"karl.schmid@uni-hohenheim.de\",\ncomment = c(ORCID = \"0000-0001-5129-895X\"),\n))",
  "Description": "Identify and visualize individuals with unusual\nassociation patterns of genetics and geography using the\napproach of Chang and Schmid (2023)\n<doi:10.1101/2023.04.06.535838>. It detects potential outliers\nthat violate the isolation-by-distance assumption using the\nK-nearest neighbor approach. You can obtain a table of outliers\nwith statistics and visualize unusual geo-genetic patterns on a\ngeographical map. This is useful for landscape genomics studies\nto discover individuals with unusual geography and genetics\nassociations from a large biological sample.",
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  "Author": "Che-Wei Chang [aut, cre]\n(<https://orcid.org/0000-0001-6704-3732>), Karl Schmid [ths]\n(<https://orcid.org/0000-0001-5129-895X>)",
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