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@inproceedings{707741,
author = {Schimek, Michael and Pavlík, Tomáš},
address = {Galway, Ireland},
booktitle = {Proceedings of the 21th International Workshop on Statistical Modelling. Galway, Ireland, 3-7 July 2006},
edition = {21},
keywords = {Correlation; Error control; False Discovery Rate; Microarray},
language = {eng},
location = {Galway, Ireland},
isbn = {1-86220-180-3},
pages = {466-473},
publisher = {Statistical Modelling Society},
title = {A comparative study of false discovery rate procedures in R},
year = {2006}
}
TY - JOUR
ID - 707741
AU - Schimek, Michael - Pavlík, Tomáš
PY - 2006
TI - A comparative study of false discovery rate procedures in R
PB - Statistical Modelling Society
CY - Galway, Ireland
SN - 1862201803
KW - Correlation
KW - Error control
KW - False Discovery Rate
KW - Microarray
N2 - Statistical procedures for the identification of differentially expressed genes in microarray studies involve a serious multiple comparison problem as we have to carry out as many hypothesis testings as the number of candidate genes in the experiment. This paper is concerned with the recent type I error control concept of the false discovery rate (FDR), for which an increasing number of competing estimates is available in R. However, there is little comparative evidence. Based on the most popular modified t-statistic independent as well as co-regulated gene expression measurements are compared in a simulation study. Finally conclusions are drawn for practical microarray analysis.
ER -
SCHIMEK, Michael and Tomáš PAVLÍK. A comparative study of false discovery rate procedures in R. In \textit{Proceedings of the 21th International Workshop on Statistical Modelling. Galway, Ireland, 3-7 July 2006}. 21st ed. Galway, Ireland: Statistical Modelling Society, 2006, p.~466-473. ISBN~1-86220-180-3.
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