A Bayesian Framework to Account for Complex Non-Genetic Factors in Gene 
Expression Levels Greatly Increases Power in eQTL Studies

Stegle, O; Parts L, Durbin, R; Winn, JM

doi:10.1371/journal.pcbi.1000770

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A Bayesian Framework to Account for Complex Non-Genetic Factors in Gene Expression Levels Greatly Increases Power in eQTL Studies

Stegle, O., Parts L, Durbin, R., & Winn, J. (2010). A Bayesian Framework to Account for Complex Non-Genetic Factors in Gene Expression Levels Greatly Increases Power in eQTL Studies. PLoS Computational Biology, 6(5), 1-11. doi:10.1371/journal.pcbi.1000770.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-C00C-D Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-C00D-B

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Stegle, O¹, Author
Parts L, Durbin, R, Author
Winn, JM, Author

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1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794

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Dates: Date issued: 2010-05

Publication Status: Issued

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Identifiers: URI: http://www.ploscompbiol.org/article/fetchObjectAttachment.action;jsessionid=CA3F615B1F97B4F9750BD1C704D50283?uri=info3Adoi2F10.13712Fjournal.pcbi.1000770representation=PDF
DOI: 10.1371/journal.pcbi.1000770
BibTex Citekey: 6532

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Title: PLoS Computational Biology

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Pages: - Volume / Issue: 6 (5) Sequence Number: - Start / End Page: 1 - 11 Identifier: -