TY - JOUR
T1 - Analysis of DNA microarray data
AU - Hackl, Hubert
AU - Cabo, Fatima Sanchez
AU - Sturn, Alexander
AU - Wolkenhauer, Olaf
AU - Trajanoski, Zlatko
PY - 2004
Y1 - 2004
N2 - 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.
AB - 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.
KW - Analysis
KW - Clustering
KW - Microarray
KW - Normalization
KW - Statistics
UR - https://www.scopus.com/pages/publications/4544378353
U2 - 10.2174/1568026043387773
DO - 10.2174/1568026043387773
M3 - Review article / Perspectives
C2 - 15379650
AN - SCOPUS:4544378353
SN - 1568-0266
VL - 4
SP - 1357
EP - 1370
JO - Current Topics in Medicinal Chemistry
JF - Current Topics in Medicinal Chemistry
IS - 13
ER -