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This article is part of the supplement: Selected articles from The 8th Annual Biotechnology and Bioinformatics Symposium (BIOT-2011)

Open Access Research

Sources of variation in false discovery rate estimation include sample size, correlation, and inherent differences between groups

Jiexin Zhang and Kevin R Coombes*

Author Affiliations

Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA

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BMC Bioinformatics 2012, 13(Suppl 13):S1  doi:10.1186/1471-2105-13-S13-S1

Published: 24 August 2012

Additional files

Additional file 1:

Boxplot of pearson correlation between and for different sample sizes

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Additional file 2:

FDP for different sample sizes and block sizes Solid black lines represent the mean FDPs from all simulated data for the same sample size. Dashed lines represent standard deviations of FDPs for different block sizes that are distinguished by colors shown in legend of bottom-right figure.

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Additional file 3:

Boxplot of  grouped by sample size and block size

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Open Data

Additional file 4:

Boxplot of grouped by sample size and block size

Format: PDF Size: 9KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data