Analysis of DNA microarray data.
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.
Hackl
Hubert
H
Institute for Genomics and Bioinformatics and Christian Doppler Laboratory for Genomics and Bioinformatics, Graz University of Technology, Petersgasse 14, A-8010 Graz, Austria.
Sanchez Cabo
Fatima
F
Sturn
Alexander
A
Wolkenhauer
Olaf
O
Trajanoski
Zlatko
Z
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
D004247:DNA