Hubert Hackl, Fatima Sanchez Cabo, Alexander Sturn, Olaf Wolkenhauer and Zlatko Trajanoski Pages 1355 - 1368 ( 14 )
Recent advances in DNA microarray technology have great impact on many areas of biomedical research and pharmacogenomics: discovering novel targets and genes, elucidating signatures of complex diseases, transcriptional profiling of models for diseases, and the development of individually optimized drugs based on differential gene expression patterns. Consequently, there is demand for robust methods for data analysis and the choice of adequate statistical tests. This review guides through all steps in the cDNA microarray data analysis pipeline and gives a basic understanding of the challenges in interpreting large microarray datasets.
microarray, analysis, statistics, normalization, clustering
Institute for Genomics andBioinformatics and Christian Doppler Laboratory for Genomics andBioinformatics, Graz University of Technology, Petersgasse 14, A-8010Graz, Austria