A robust ratio estimator of gene expression via inverse-variance weighting for cDNA microarray images

Shih-Huang Chan, Wan Chi Chang

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In microarray processing, the appearance of artifacts, donuts, and irregularly shaped spots is a problem. In current microarray analysis, most approaches stress the segmentation of pixel intensities rather than emphasizing ratio estimators. To avoid segmenting spot target areas and to minimize sensitivity to aberrant pixels, we propose a robust ratio estimator of gene expression via inverse-variance weighting. Moreover, a metric is proposed to evaluate the spot quality. Both the simulation and numerical examples explored reveal that the proposed algorithm is superior to existing approaches with respect to mean square error. The acceptance quality measure recommended confirms the validity of the proposed ratio estimator. Crown

Original languageEnglish
Pages (from-to)1577-1589
Number of pages13
JournalComputational Statistics and Data Analysis
Volume53
Issue number5
DOIs
Publication statusPublished - 2009 Mar 15

Fingerprint

CDNA Microarray
Ratio Estimator
Robust Estimators
Microarrays
Gene expression
Gene Expression
Weighting
Pixels
Pixel
Mean square error
Microarray Analysis
Quality Measures
Microarray
Segmentation
Processing
Minimise
Metric
Numerical Examples
Target
Evaluate

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Computational Mathematics
  • Computational Theory and Mathematics
  • Applied Mathematics

Cite this

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A robust ratio estimator of gene expression via inverse-variance weighting for cDNA microarray images. / Chan, Shih-Huang; Chang, Wan Chi.

In: Computational Statistics and Data Analysis, Vol. 53, No. 5, 15.03.2009, p. 1577-1589.

Research output: Contribution to journalArticle

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