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  Deconfounding microarray analysis - Independent measurements of cell type proportions used in a regression model to resolve tissue heterogeneity bias

Jacobsen, M., Repsilber, D., Gutschmidt, A., Neher, A., Feldmann, K., Mollenkopf, H. J., et al. (2006). Deconfounding microarray analysis - Independent measurements of cell type proportions used in a regression model to resolve tissue heterogeneity bias. Methods of Information in Medicine, 45(5), 557-563.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-000E-C3DB-F Version Permalink: http://hdl.handle.net/11858/00-001M-0000-000E-C3DC-D
Genre: Journal Article
Alternative Title : Methods Inf. Med.

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 Creators:
Jacobsen, Marc1, Author              
Repsilber, Dirk, Author
Gutschmidt, Andrea1, Author              
Neher, Albert, Author
Feldmann, Knut, Author
Mollenkopf, Hans J.2, Author              
Kaufmann, Stefan H. E.1, Author              
Ziegler, Andreas, Author
Affiliations:
1Department of Immunology, Max Planck Institute for Infection Biology, Max Planck Society, ou_1664146              
2Core Facilities / Microarray, Max Planck Institute for Infection Biology, Max Planck Society, ou_1664141              

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Free keywords: transcriptome; tissue heterogeneity; deconfounding
 Abstract: -

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Language(s): eng - English
 Dates: 2006
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: eDoc: 302836
ISI: 000241149400013
 Degree: -

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Title: Methods of Information in Medicine
  Alternative Title : Methods Inf. Med.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 45 (5) Sequence Number: - Start / End Page: 557 - 563 Identifier: ISSN: 0026-1270