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

Yanhua Jin; Jung Eun Shim; Won Suk Lee

doi:10.1016/j.eswa.2011.05.051

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

Yanhua Jin, Jung Eun Shim, Won Suk Lee

College of Computing

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	14960-14968
Number of pages	9
Journal	Expert Systems with Applications
Volume	38
Issue number	12
DOIs	https://doi.org/10.1016/j.eswa.2011.05.051
Publication status	Published - 2011 Nov

Bibliographical note

Funding Information:
This work was supported by the Korea Science and Engineering Foundation(KOSEF) NRL Program) (No.2010-0008007) and was partially supported by from the Basic Research Program (No. 2008-0052335) grant funded by the Korea government(MEST).

All Science Journal Classification (ASJC) codes

Engineering(all)
Computer Science Applications
Artificial Intelligence

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10.1016/j.eswa.2011.05.051

Cite this

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

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.",

author = "Yanhua Jin and Shim, {Jung Eun} and Lee, {Won Suk}",

note = "Funding Information: This work was supported by the Korea Science and Engineering Foundation(KOSEF) NRL Program) (No.2010-0008007) and was partially supported by from the Basic Research Program (No. 2008-0052335) grant funded by the Korea government(MEST).",

year = "2011",

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doi = "10.1016/j.eswa.2011.05.051",

language = "English",

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AU - Jin, Yanhua

AU - Shim, Jung Eun

AU - Lee, Won Suk

N1 - Funding Information: This work was supported by the Korea Science and Engineering Foundation(KOSEF) NRL Program) (No.2010-0008007) and was partially supported by from the Basic Research Program (No. 2008-0052335) grant funded by the Korea government(MEST).

PY - 2011/11

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N2 - 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.

AB - 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.

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

Abstract

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