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January 1, 1997Journal of Biomedical Optics550 citationsOpen Access

Ratio-based decisions and the quantitative analysis of cDNA microarray images

YCYidong Chen

Key Points

  • This research aims to enhance quantitative analysis of gene expression in cDNA microarray images using ratios.
  • Developed a novel image segmentation technique to identify cDNA target sites.
  • Created a hypothesis test and confidence interval for expression ratio significance.
  • Derived probability density and maximum-likelihood estimator for the expression ratio distribution.
  • The proposed method effectively quantifies observed differences in gene expression ratios.
  • Significant advancements in signal calibration were achieved through an iterative procedure.

Abstract

Gene expression can be quantitatively analyzed by hybridizing fluor-tagged mRNA to targets on a cDNA microarray. Comparison of gene expression levels arising from cohybridized samples is achieved by taking ratios of average expression levels for individual genes. A novel method of image segmentation is provided to identify cDNA target sites and a hypothesis test and confidence interval is developed to quantify the significance of observed differences in expression ratios. In particular, the probability density of the ratio and the maximum-likelihood estimator for the distribution are derived, and an iterative procedure for signal calibration is developed.

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Cite This Study

Yidong Chen (1997) studied this question.

synapsesocial.com/papers/6a122df9f7bd4f5c7da5e6bbhttps://doi.org/10.1117/12.281504
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