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Proceedings Paper

Expression ratio statistics and its applications to microarray data analysis
Author(s): Yidong Chen; Vishnu G. Kamat; Edward R. Dougherty; Michael L. Bittner; Paul S. Meltzer; Jeffrey M. Trent
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Paper Abstract

Microarray technology makes it possible to monitor expression levels of thousands of genes simultaneously during single or multiple experiments. Routinely, in order to analyze gene expressions level quantitatively, two fluorescent-labeled RNAs are hybridized to an array of cDNA probes on a glass slide. Ratios of gene expression levels arising from two co-hybridized samples are obtained through image segmentation and signal detection methods. During the past three years, we have developed a gene expression analysis system in which ratio statistics have been applied to expression analysis, and a ratio confidence interval has been established to identify ratio outliers.

Paper Details

Date Published: 22 March 2000
PDF: 8 pages
Proc. SPIE 3926, Advances in Nucleic Acid and Protein Analyses, Manipulation, and Sequencing, (22 March 2000); doi: 10.1117/12.380505
Show Author Affiliations
Yidong Chen, National Institutes of Health (United States)
Vishnu G. Kamat, Texas A&M Univ. (United States)
Edward R. Dougherty, Texas A&M Univ. (United States)
Michael L. Bittner, National Institutes of Health (United States)
Paul S. Meltzer, National Institutes of Health (United States)
Jeffrey M. Trent, National Institutes of Health (United States)


Published in SPIE Proceedings Vol. 3926:
Advances in Nucleic Acid and Protein Analyses, Manipulation, and Sequencing
Patrick A. Limbach; John C. Owicki; Ramesh Raghavachari; Weihong Tan, Editor(s)

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