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PMID: 12795415 Published · ppublish English Journal Article Review

Statistical approach to DNA chip analysis.

Recent progress in hormone research ·Vol. 58 ·2003-00-00 ·Pages 75-93

Svrakic NM, Nesic O, Dasu MR, Herndon D, Perez-Polo JR

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.

MeSH Terms
Algorithms Gene Expression Profiling Humans Mathematics Multigene Family Neoplasms/genetics Oligonucleotide Array Sequence Analysis/methods,statistics & numerical data Time Factors
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Svrakic N M
Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri 63110, USA. nenad@tci.wustl.edu
Nesic O
Dasu M R K
Herndon D
Perez-Polo J R
Article Info
Journal
Recent progress in hormone research
Abbr.
Recent Prog Horm Res
ISSN
0079-9963
Published
2003-00-00
Pages
75-93
Language
English
Region
United States
NLM ID
0404471
Subset
IM
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