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Article 41 of 244

Statistical approach to DNA chip analysis
Svrakic NM, Nesic O, Dasu MRK, Herndon D, Perez-Polo JR
RECENT PROGRESS IN HORMONE RESEARCH, VOL 58
RECENT PROGRESS IN HORMONE RESEARCH

58: 75-93 2003

Document type: Review

Language: English

Cited References: 42

Times Cited: 0

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.

KeyWords Plus:
GENE-EXPRESSION PROFILES, MOLECULAR CLASSIFICATION, OLIGONUCLEOTIDE ARRAYS, CLUSTER-ANALYSIS, BREAST-CANCER, PATTERNS, NETWORKS, YEAST, HYBRIDIZATION, PREDICTION

Addresses:
Svrakic NM, Washington Univ, Sch Med, Dept Psychiat, St Louis, MO 63110 USA
Washington Univ, Sch Med, Dept Psychiat, St Louis, MO 63110 USA
Univ Texas, Med Branch, Dept Human Biol Chem & Genet, Galveston, TX 77550 USA
Univ Texas, Med Branch, Shriners Hosp Children, Dept Surg, Galveston, TX 77550 USA

Publisher:
ENDOCRINE SOC, BETHESDA

IDS Number:
BW63Z

ISSN:
0079-9963

Article 41 of 244

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