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

Jacobsen, Marc; Repsilber, Dirk; Gutschmidt, Andrea; Neher, Albert; Feldmann, Knut; Mollenkopf, Hans J.; Kaufmann, Stefan H. E.; Ziegler, Andreas

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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: https://hdl.handle.net/11858/00-001M-0000-000E-C3DB-F Version Permalink: https://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

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Language(s): eng - English

Dates: Date issued: 2006

Publication Status: Issued

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Identifiers: eDoc: 302836
ISI: 000241149400013

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Title: Methods of Information in Medicine

Alternative Title : Methods Inf. Med.

Source Genre: Journal

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Pages: - Volume / Issue: 45 (5) Sequence Number: - Start / End Page: 557 - 563 Identifier: ISSN: 0026-1270