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  "Title": "Estimating Local False Discovery Rates Using Empirical Bayes\nMethods",
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  "Author": "Ali Karimnezhad, Johnary Kim, Anna Akpawu, Justin Chitpin and\nDavid R Bickel",
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  "Description": "New empirical Bayes methods aiming at analyzing the\nassociation of single nucleotide polymorphisms (SNPs) to some\nparticular disease are implemented in this package. The package\nuses local false discovery rate (LFDR) estimates of SNPs within\na sample population defined as a \"reference class\" and\ndiscovers if SNPs are associated with the corresponding\ndisease. Although SNPs are used throughout this document, other\nbiological data such as protein data and other gene data can be\nused. Karimnezhad, Ali and Bickel, D. R. (2016)\n<http://hdl.handle.net/10393/34889>.",
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