Estimating Local False Discovery Rates Using Empirical Bayes Methods

New empirical Bayes methods aiming at analyzing the association of single nucleotide polymorphisms (SNPs) to some particular disease are implemented in this package. The package uses local false discovery rate (LFDR) estimates of SNPs within a sample population defined as a "reference class" and discovers if SNPs are associated with the corresponding disease. Although SNPs are used throughout this document, other biological data such as protein data and other gene data can be used. Karimnezhad, Ali and Bickel, D. R. (2016) < http://hdl.handle.net/10393/34889>.


News


  • LFDREmpiricalBayes - NEWS *

Version 0.1 (Release date: 2017-09-26)

  • Initial release

Reference manual

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install.packages("LFDREmpiricalBayes")

1.0 by Ali Karimnezhad, 2 years ago


https://davidbickel.com


Browse source code at https://github.com/cran/LFDREmpiricalBayes


Authors: Ali Karimnezhad , Johnary Kim , Anna Akpawu , Justin Chitpin and David R Bickel


Documentation:   PDF Manual  


GPL-3 license


Imports matrixStats, stats, R6

Suggests LFDR.MLE, testthat


Suggested by CorrectedFDR.


See at CRAN