title: Comments on probabilistic models behind the concept of false discovery rate.
abstract: This commentary is concerned with a formula for the false discovery rate (FDR) which frequently serves as a basis for its estimation. This formula is valid under some quite special conditions, motivating us to further discuss probabilistic models behind the commonly accepted FDR concept with a special focus on problems arising in microarray data analysis. We also present a simulation study designed to assess the effects of inter-gene correlations on some theoretical results based on such models.
authors.affiliation: Department of Biostatistics and Computational Biology, University of Rochester, 601 Elmwood Avenue, Box 630, Rochester, New York 14642, USA. xqiu@bst.rochester.edu
authors.forename: Xing
authors.initials: X
authors.lastname: Qiu
authors.forename: Andrei
authors.initials: A
authors.lastname: Yakovlev
mesh_terms: D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D005189:False Positive Reactions; D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis / Q000592:standards* / Q000706:statistics & numerical data; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D018401:Sample Size; D012680:Sensitivity and Specificity