Topological Proteomics Image Segmentation Based on a Genetic Algorithm

摘要：

With the development of Multi-Epitope-Ligand-Kartographie (MELK) technology, Topological Proteomics is attracting more and more researchers nowadays. The segmentation of MELK images is one of crucial steps to automatically analyze Topological Proteomics. MELK images are preprocessed based on entropy, then a genetic algorithm is applied to segment selected MELK images. The experimental results indicate that it is feasible to segment MELK images with the proposed method.

关键词： image segemetation topological proteomics genetic algorithm

作者: Nian Cai Shaorui Xu Xiaoyan Tang Fangzhen Li

作者单位: School of Information Engineering Guangdong University of Technology Guangzhou, P.R. China CAS-MPG Partner Institute for Computational Biology Chinese Academy of Sciences Shanghai, P.R. China

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 2511-2513

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）