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This article is part of the supplement: The International Conference on Intelligent Biology and Medicine (ICIBM) – Genomics

Open Access Research

Literature aided determination of data quality and statistical significance threshold for gene expression studies

Lijing Xu1, Cheng Cheng2, E Olusegun George13 and Ramin Homayouni14*

Author Affiliations

1 Bioinformatics Program, Memphis, TN 38152, USA

2 Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN 38105, USA

3 Department of Mathematical Sciences, Memphis, TN 38152, USA

4 Department of Biology, University of Memphis, Memphis, TN 38152, USA

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BMC Genomics 2012, 13(Suppl 8):S23  doi:10.1186/1471-2164-13-S8-S23

Published: 17 December 2012

Additional files

Additional file 1:

Number of DE genes (with 0.05 EPv) and percentage of having abstracts that generated from different tests for PGC-1beta, IL2 and ET1 datasets.

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Open Data