摘要
针对胃病原体幽门螺杆菌Ｈ．ｐｙｌｏｒｉ基因组对象相关的Ｎ－末端肽序列，提出了一种新的基于粗糙集的模式分类器方法，并阐述了相应的设计过程；所构造的模式分类器模型具有灵活的粗糙集表示结构，并与有效的粗糙集模式分类机制有着有机的联系．该方法不仅在非确定性信息处理方面具有理论意义，而且在将高新科技手段应用于生命科学前沿领域方面，是一种非常有益的探索，相应的计算机实验结果表明了该研究方法的有效性和实用性．
Focussing on N terminal peptide sequence of gastric pathogen H.pylori genome, a novel pattern classifier method is proposed based on rough set and corresponding designing procedure is described as well. The pattern classifier model constructed is with a flexible architecture for rough set representation. The method has great significance in the respects of uncertain information processing and proves to be a beneficial effort to apply high technological tools in the frontier of life science. The corresponding experiment result shows that the research method is efficient and practical.
出处
《中南工业大学学报》
CSCD
北大核心
1998年第6期589-592,共4页
Journal of Central South University of Technology(Natural Science)
基金
教育部图像信息处理与智能控制开放实验室基金
湖南省自然科学基金
