Driven by design

23 Jan 2012

Driven by design

Functional genomics experiments are increasingly determined by a predefined experimental design. The design drives data generation and determines how the resulting data sets are organised. Knowledge of the underlying experimental design is therefore important to ensure adequate data analysis. Several methods have become available that utilize the underlying experimental design. Age Smilde (University of Amsterdam) and colleagues compared these methods and developed a general framework that supports researchers in understanding the differences between the methods, how to deal with factor effects that stem from the design used and selecting an alternative analysis method that might offer a better fit with their particular biological question.

Smilde AK, Timmerman ME, Hendriks MMWB, Jansen JJ, Hoefsloot HCJ
Generic framework for high-dimensional fixed-effects ANOVA
Briefings in Bioinformatics 2011, doi:10.1093/bib/bbr071

By: Esther Thole

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