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Article 88 of 244

Gene expression data: The technology and statistical analysis
Craig BA, Black MA, Doerge RW
JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS

8 (1): 1-28 MAR 2003

Document type: Article

Language: English

Cited References: 58

Times Cited: 0

Abstract:
The desire to view the simultaneous behavior of genes affected by a stimulus at the total genome level has brought the scientific world to a new place in history. It is now commonplace to have an experiment that investigates the expression of thousands of genes across treatments and time points. Biologists are quickly understanding that in order to make sense of these data and the variation that is inherent in the experimental process, statistical models need to be employed. This article presents important aspects of the two most common microarray technologies, the spotted array and the oligonucleotide array, for the purpose of identifying common and unique features of each technology and the data produced. Statistical models are suggested, and the statistical literature reviewed, in an attempt to bring some level of simplicity to the daunting task of analyzing these data. We include two examples, each based upon one of the different technologies, suggest a statistical model, and present the results of the analyses in hopes of providing both encouragement and guidance to readers wanting to become more involved in this exciting field known as genomics.

Author Keywords:
hypothesis testing, linear models, microarrays, multiple comparisons, statistical genetics

KeyWords Plus:
CDNA MICROARRAY EXPERIMENTS, OLIGONUCLEOTIDE ARRAYS, MODELING APPROACH, DNA METHYLATION, PATTERNS, VARIANCE, DESIGN, ISSUES

Addresses:
Craig BA, Purdue Univ, Dept Stat, W Lafayette, IN 47907 USA
Purdue Univ, Dept Stat, W Lafayette, IN 47907 USA
Univ Auckland, Dept Stat, Auckland 1, New Zealand
Purdue Univ, Dept Agron, W Lafayette, IN 47907 USA
Purdue Univ, Fac Computat Genom, W Lafayette, IN 47907 USA

Publisher:
AMER STATISTICAL ASSOC & INTERNATIONAL BIOMETRIC SOC, WASHINGTON

IDS Number:
650YJ

ISSN:
1085-7117

Article 88 of 244

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