Statistical Approach to DNA Chip Analysis

N. M. Svrakic, O. Nesic, M. R K Dasu, David Herndon, J. R. Perez-Polo

Research output: Contribution to journalArticle

21 Scopus citations

Abstract

Statistical methods for analyzing data from DNA microarray experiments are reviewed. Specifically, we discuss common experimental setups, methods for data reduction and clustering, and analysis of time-course experiments. While early microarray studies focused mainly on the basic methodological and technical aspects of DNA arrays, emphasis has shifted to biological, medical, and clinical applications. We mention several of these and present results from our recent research as illustrative examples. New developments in this ever-growing field are outlined.

Original languageEnglish (US)
Pages (from-to)75-93
Number of pages19
JournalRecent Progress in Hormone Research
Volume58
DOIs
StatePublished - 2003

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ASJC Scopus subject areas

  • Endocrinology

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Svrakic, N. M., Nesic, O., Dasu, M. R. K., Herndon, D., & Perez-Polo, J. R. (2003). Statistical Approach to DNA Chip Analysis. Recent Progress in Hormone Research, 58, 75-93. https://doi.org/10.1210/rp.58.1.75