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Conference Paper

A false discovery rate approach to separate the score distributions of induced and non-induced genes

MPS-Authors

Scheid,  Stefanie
Max Planck Society;

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Spang,  Rainer
Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

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ScheidSpang.pdf
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Citation

Scheid, S., & Spang, R. (2003). A false discovery rate approach to separate the score distributions of induced and non-induced genes.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0010-8B37-C
Abstract
The distribution of scores for differential gene expression observed in microarray experiments give rise to the assumption that the underlying score distributions of induced and non-induced genes share wide overlapping regions. Our aim is to reconstruct this mixture not only for extremal score regions but over the whole range of scores. We propose and evaluate a method based on the theory of False Discovery Rates.