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.
|Title of host publication||Batch effects and Noise in Microarray Experiments: Sources and Solutions|
|Number of pages||9|
|Publication status||Published - 2009|
|MoE publication type||A3 Book chapter|