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  "Title": "False Discovery Rate Procedures Under Discrete and Heterogeneous\nNull Distributions",
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  "Author": "Xiongzhi Chen and Rebecca W. Doerge <rwdoerge@andrew.cmu.edu>",
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  "Description": "It is known that current false discovery rate (FDR)\nprocedures can be very conservative when applied to multiple\ntesting in the discrete paradigm where p-values (and test\nstatistics) have discrete and heterogeneous null distributions.\nThis package implements more powerful weighted or adaptive FDR\nprocedures for FDR control and estimation in the discrete\nparadigm. The package takes in the original data set rather\nthan just the p-values in order to carry out the adjustments\nfor discreteness and heterogeneity of p-value distributions.\nThe package implements methods for two types of test statistics\nand their p-values: (a) binomial test on if two independent\nPoisson distributions have the same means, (b) Fisher's exact\ntest on if the conditional distribution is the same as the\nmarginal distribution for two binomial distributions, or on if\ntwo independent binomial distributions have the same\nprobabilities of success.",
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