Aspects of Technical Bias

Martin Schumacher, Frank Staedtler, Wendell Jones, Andreas Scherer

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review


Variation in microarray data can result from technical and biological sources. While the extent to which factors contribute to this variation has been largely investigated (Bakay et al. 2002; Boedigheimer et al. 2008; Eklund and Szallasi 2008; Fare et al. 2003; Han et al. 2004; Lusa et al. 2007; Novak et al. 2002; Zakharkin et al. 2005), the nature and extent of the signal intensity changes with which variation manifests itself in the data has not been a major focus of research. Using several real microarray data sets with known batch effects, we analyze and describe how technical variation is translated into gene expression changes.
Original languageEnglish
Title of host publicationBatch effects and Noise in Microarray Experiments: Sources and Solutions
Number of pages9
Publication date2009
ISBN (Print)978-0-470-74138-2
Publication statusPublished - 2009
MoE publication typeA3 Book chapter

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