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Computational Strategies for Protein Quantitation in 2D Electrophoresis Gel Image Processor for Matlab
Jeju Island, Korea October 11-October 13
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FBIT.2007.952007 Frontiers in the Convergence of ...
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In this paper, computational strategies are defined for protein quantitation 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.
Citation:
Umer Zeeshan Ijaz, Safee Ullah Chaudhary, Moon Sang Don, Kyung Youn Kim, "Computational Strategies for Protein Quantitation in 2D Electrophoresis Gel Image Processor for Matlab," fbit, pp.129-134, 2007 Frontiers in the Convergence of Bioscience and Information Technologies, 2007
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