title: Analysis of DNA microarray data.
abstract: 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.
authors.affiliation: Institute for Genomics and Bioinformatics and Christian Doppler Laboratory for Genomics and Bioinformatics, Graz University of Technology, Petersgasse 14, A-8010 Graz, Austria.
authors.forename: Hubert
authors.initials: H
authors.lastname: Hackl
authors.forename: Fatima
authors.initials: F
authors.lastname: Sanchez Cabo
authors.forename: Alexander
authors.initials: A
authors.lastname: Sturn
authors.forename: Olaf
authors.initials: O
authors.lastname: Wolkenhauer
authors.forename: Zlatko
authors.initials: Z
authors.lastname: Trajanoski
mesh_terms: D000818:Animals; D016000:Cluster Analysis; D019295:Computational Biology; D004247:DNA / Q000032:analysis* / Q000235:genetics; D003627:Data Interpretation, Statistical; D020869:Gene Expression Profiling / Q000379:methods; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods* / Q000706:statistics & numerical data*; D010597:Pharmacogenetics / Q000379:methods; D012107:Research Design
chemical_list: D004247:DNA