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 | |
| Publication status | Published - 2011 Nov 1 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
- Computer Science Applications
- Artificial Intelligence
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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 journal › Article
TY - JOUR
T1 - A probability-based error spot filtering method in protein 2-DE image spot pattern matching analysis
AU - Jin, Yanhua
AU - Shim, Jung Eun
AU - Lee, Won Suk
PY - 2011/11/1
Y1 - 2011/11/1
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.
UR - http://www.scopus.com/inward/record.url?scp=80052023750&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80052023750&partnerID=8YFLogxK
U2 - 10.1016/j.eswa.2011.05.051
DO - 10.1016/j.eswa.2011.05.051
M3 - Article
AN - SCOPUS:80052023750
VL - 38
SP - 14960
EP - 14968
JO - Expert Systems with Applications
JF - Expert Systems with Applications
SN - 0957-4174
IS - 12
ER -