title: fdrtool: a versatile R package for estimating local and tail area-based false discovery rates.
abstract: False discovery rate (FDR) methodologies are essential in the study of high-dimensional genomic and proteomic data. The R package 'fdrtool' facilitates such analyses by offering a comprehensive set of procedures for FDR estimation. Its distinctive features include: (i) many different types of test statistics are allowed as input data, such as P-values, z-scores, correlations and t-scores; (ii) simultaneously, both local FDR and tail area-based FDR values are estimated for all test statistics and (iii) empirical null models are fit where possible, thereby taking account of potential over- or underdispersion of the theoretical null. In addition, 'fdrtool' provides readily interpretable graphical output, and can be applied to very large scale (in the order of millions of hypotheses) multiple testing problems. Consequently, 'fdrtool' implements a flexible FDR estimation scheme that is unified across different test statistics and variants of FDR.
  
  
  BACKGROUND
  The program is freely available from the Comprehensive R Archive Network (http://cran.r-project.org/) under the terms of the GNU General Public License (version 3 or later).
  
  
  BACKGROUND
  strimmer@uni-leipzig.de.
authors.affiliation: Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Härtelstr. 16-18, 04107 Leipzig, Germany. strimmer@uni-leipzig.de
authors.forename: Korbinian
authors.initials: K
authors.lastname: Strimmer
mesh_terms: D000465:Algorithms; D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D005189:False Positive Reactions; D023281:Genomics / Q000379:methods*; D011381:Programming Languages; D012984:Software