Earticle

초록

영어

Two-dimensional polyacrylamide gel electrophoresis of proteins is a robust and reproducible technique. It is the most widely used separation tool in proteomics. Current efforts in the field are directed at development of tools for expanding the range of proteins accessible with two-dimensional gels. Proteomics was built around the two-dimensional gel. The idea that multiple proteins can be analyzed in parallel grew from two-dimensional gel maps. Proteomics researchers needed to identify interested protein spots by examining the gel. This is time consuming, labor extensive and error prone. It is desired that the computer can analyze the proteins automatically by first detecting then quantifying the protein spots in the 2-D gel images. In our previous work, we presented a new technique for segmentation of 2-D gel images using the fuzzy c-means algorithm using the notion of fuzzy relations. In this paper, we will describe the new relational fuzzy c-means algorithm (RFCM) and use it for automatic protein spots quantification. We will also use two methods to evaluate its performance: the unsupervised evaluation method and comparison with the expert spots quantification.

목차

Abstract
 1. Introduction
 2. Previous developments
 3. The Fuzzy C-Means Segmentation Algorithm
 4. Protein Spot Detection Utilizing the Relational Fuzzy C-MeansAlgorithm
 5. Our proposed Protein Spots Quantification
 6. Experimental Results
  6.1. The evaluation error ECW
  6.2 Evaluation by Expert user
 7. Discussion
 References

키워드

저자

• Heshmat A.Rashwan [ knowledge-Based Systems Department, Informatics Research Institute, Mubarak City for Science and Technology, Borg ElArab, Alexandria, Egypt ]
• Amany M. Sarhan [ Computers and Automatic Control Engineering Department, Faculty of Engineering, University of Tanta, Tanta, Egypt ]
• Muhammed Talaat Faheem [ Computers and Automatic Control Engineering Department, Faculty of Engineering, University of Tanta, Tanta, Egypt ]
• Bayumy.A.Youssef [ Computer-Based Applications Department, Informatics Research Institute, Mubarak City for Science and Technology, Borg ElArab, Alexandria, Egypt ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605