Statistical analysis of DNA microarray data in cancer research

Jianqing Fan, Yi Ren

Research output: Contribution to journalReview articlepeer-review

43 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)4469-4473
Number of pages5
JournalClinical Cancer Research
Issue number15
StatePublished - Aug 1 2006
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General Medicine


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