DocumentCode
3477617
Title
Computational Strategies for Protein Quantitation in 2D Electrophoresis Gel Image Processor for Matlab
Author
Ijaz, Umer Zeeshan ; Chaudhary, Safee Ullah ; Don, Moon Sang ; Kim, Kyung Youn
Author_Institution
Dept. of Electron. Eng., Cheju Nat. Univ., Cheju
fYear
2007
fDate
11-13 Oct. 2007
Firstpage
129
Lastpage
134
Abstract
In this paper, computational strategies are defined for protein quantisation by considering the shapes of the protein spots. The technique uses the clustering techniques like K-mean and fuzzy C-mean to distinguish between different types of protein spots and unwanted artifacts. The resulting technique is used in 2D electrophoresis gel image processor for Matlab with other image manipulation techniquies on the experimental data to evaluate its performance.
Keywords
biochemistry; biology computing; electrophoresis; gels; image processing; molecular biophysics; pattern clustering; proteins; 2D electrophoresis gel; K-mean clustering; fuzzy C-mean clustering; image processor; protein quantisation; protein spots; Anodes; Biomedical engineering; Cathodes; Electrokinetics; Information technology; Pipelines; Protein engineering; Proteomics; Signal processing algorithms; Silver;
fLanguage
English
Publisher
ieee
Conference_Titel
Frontiers in the Convergence of Bioscience and Information Technologies, 2007. FBIT 2007
Conference_Location
Jeju City
Print_ISBN
978-0-7695-2999-8
Type
conf
DOI
10.1109/FBIT.2007.95
Filename
4524092
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