Computational Strategies for Protein Quantitation in 2D Electrophoresis Gel Image Processor for Matlab

Ijaz, U. Z. , Chaudhary, S. U., Don, M. S. and Kim, K. Y. (2007) Computational Strategies for Protein Quantitation in 2D Electrophoresis Gel Image Processor for Matlab. In: FBIT 2007: Frontiers in the Convergence of Bioscience and Information Technologies, Jeju City, Korea, 11-13 Oct 2007, pp. 129-134. ISBN 9780769529998 (doi:10.1109/FBIT.2007.95)

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Publisher's URL: http://www.sersc.org/FBIT2007/page1.php

Abstract

n 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.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ijaz, Dr Umer
Authors: Ijaz, U. Z., Chaudhary, S. U., Don, M. S., and Kim, K. Y.
College/School:College of Science and Engineering > School of Engineering > Infrastructure and Environment
ISBN:9780769529998

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