TY - JOUR
T1 - Statistical analysis of DNA microarray data in cancer research
AU - Fan, Jianqing
AU - Ren, Yi
PY - 2006/8/1
Y1 - 2006/8/1
N2 - Microarray techniques have been widely used to monitor gene expression in many areas of biomedical research. They have been widely used for tumor diagnosis and classification, prediction of prognoses and treatment, and understanding of molecular mechanisms, biochemical pathways, and gene networks. Statistical methods are vital for these scientific endeavors. This article reviews recent developments of statistical methods for analyzing data from microarray experiments. Emphasis has been given to normalization of expression from multiple arrays, selecting significantly differentially expressed genes, tumor classifications, and gene expression pathways and networks.
AB - Microarray techniques have been widely used to monitor gene expression in many areas of biomedical research. They have been widely used for tumor diagnosis and classification, prediction of prognoses and treatment, and understanding of molecular mechanisms, biochemical pathways, and gene networks. Statistical methods are vital for these scientific endeavors. This article reviews recent developments of statistical methods for analyzing data from microarray experiments. Emphasis has been given to normalization of expression from multiple arrays, selecting significantly differentially expressed genes, tumor classifications, and gene expression pathways and networks.
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U2 - 10.1158/1078-0432.CCR-06-1033
DO - 10.1158/1078-0432.CCR-06-1033
M3 - Review article
C2 - 16899590
AN - SCOPUS:33748041130
SN - 1078-0432
VL - 12
SP - 4469
EP - 4473
JO - Clinical Cancer Research
JF - Clinical Cancer Research
IS - 15
ER -