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An Overview of DNA Microarray Grid Alignment and Foreground Separation Approaches

EURASIP Journal on Advances in Signal Processing volume 2006, Article number: 080163 (2006) Cite this article

Abstract

This paper overviews DNA microarray grid alignment and foreground separation approaches. Microarray grid alignment and foreground separation are the basic processing steps of DNA microarray images that affect the quality of gene expression information, and hence impact our confidence in any data-derived biological conclusions. Thus, understanding microarray data processing steps becomes critical for performing optimal microarray data analysis. In the past, the grid alignment and foreground separation steps have not been covered extensively in the survey literature. We present several classifications of existing algorithms, and describe the fundamental principles of these algorithms. Challenges related to automation and reliability of processed image data are outlined at the end of this overview paper.

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  1. The National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, IL, 61801, USA

    Peter Bajcsy

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  1. Peter Bajcsy
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Correspondence to Peter Bajcsy.

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Bajcsy, P. An Overview of DNA Microarray Grid Alignment and Foreground Separation Approaches. EURASIP J. Adv. Signal Process. 2006, 080163 (2006). https://doi.org/10.1155/ASP/2006/80163

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  • DOI: https://doi.org/10.1155/ASP/2006/80163

Keywords

  • Information Technology
  • Image Data
  • Fundamental Principle
  • Microarray Data
  • Quantum Information