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

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

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-8B37-C Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-8B38-A
Genre: Conference Paper

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ScheidSpang.pdf (Any fulltext), 228KB
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 Creators:
Scheid, Stefanie1, Author
Spang, Rainer2, Author           
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1Max Planck Society, ou_persistent13              
2Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433547              

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 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.

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Language(s): eng - English
 Dates: 2003
 Publication Status: Issued
 Pages: online proceedings
 Publishing info: -
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 Rev. Type: -
 Identifiers: eDoc: 176218
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Title: 3rd International Workshop on Distributed Statistical Computing (DSC 2003)
Place of Event: Technische Universität Wien, Vienna, Austria
Start-/End Date: 2003-03-20 - 2003-03-22

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