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ID: 302836.0, MPI für Infektionsbiologie / Department of Immunology
Deconfounding microarray analysis - Independent measurements of cell type proportions used in a regression model to resolve tissue heterogeneity bias
Authors:Jacobsen, Marc; Repsilber, Dirk; Gutschmidt, Andrea; Neher, Albert; Feldmann, Knut; Mollenkopf, Hans J.; Kaufmann, Stefan H. E.; Ziegler, Andreas
Language:English
Date of Publication (YYYY-MM-DD):2006
Title of Journal:Methods of Information in Medicine
Journal Abbrev.:Methods Inf. Med.
Volume:45
Issue / Number:5
Start Page:557
End Page:563
Copyright:© 2006 Schattauer GmbH, alle Rechte vorbehalten.
Review Status:not specified
Audience:Experts Only
Free Keywords:transcriptome; tissue heterogeneity; deconfounding
Comment of the Author/Creator:Acknowledgments
This study was supported by the Bundesministerium für Bildung und Forschung (NIE-S02T21, PGES26T11).
The National Genome Research Network (Germany) supported this study in part, and the EU FP6 funded IP “TBVAC” to S.H.E. Kaufmann, and M. Jacobsen. H.-J. Mollenkopf and S.H.E. Kaufmann acknowledge additional funding by the European Fund for Regional Development/State of Berlin.
The authors have no conflicting financial interests.
External Publication Status:published
Document Type:Article
Communicated by:Hilmar Fünning
Affiliations:MPI für Infektionsbiologie/Department of Immunology
MPI für Infektionsbiologie/Core Facilities
External Affiliations:Med Univ Lubeck, Inst Med Biometry & Stat, D-23538 Lubeck, Germany.; Asklepios Ctr Resp Med & Thorac Surg, Gauting, Germany.
Identifiers:ISI:000241149400013 [ID No:1]
ISSN:0026-1270 [ID No:2]
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