A probability-based error spot filtering method in protein 2-DE image spot pattern matching analysis

Yanhua Jin, Jung Eun Shim, Won Suk Lee

Research output: Contribution to journalArticle

Abstract

Given a number of 2-DE gel images of the same kind, identifying the spot of each image for the same protein is an important task to monitor the expression level change of the protein. For this purpose, the gel-based two-dimensional electrophoresis method (2-DE) is widely used since it separates thousands of proteins in a sample cost-effectively. However, this approach suffers from inherent noises and irregular geometric distortions of spots observed in a 2-DE gel image. This paper proposes a probability-based error filtering method that can find more reliable spot-matching results, so that the accuracy of protein expression analysis can be improved. The performance of the proposed method is analyzed by various experiments on real 2-DE gel images of human liver tissues.

Original languageEnglish
Pages (from-to)14960-14968
Number of pages9
JournalExpert Systems with Applications
Volume38
Issue number12
DOIs
Publication statusPublished - 2011 Nov 1

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Pattern matching
Gels
Proteins
Electrophoresis
Liver
Tissue
Costs
Experiments

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

Cite this

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A probability-based error spot filtering method in protein 2-DE image spot pattern matching analysis. / Jin, Yanhua; Shim, Jung Eun; Lee, Won Suk.

In: Expert Systems with Applications, Vol. 38, No. 12, 01.11.2011, p. 14960-14968.

Research output: Contribution to journalArticle

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