Choquet Integral Algorithm for T-cell Epitope Prediction Based on Fuzzy Measure

摘要：

Epitope is an antigen segment which is recognized by the immune system specifically and induces immune response. To accurately predict epitopes is essential in vaccine design that is one goal of immunoinformatics. In this study, we consider the coupling effects of physicochemical properties in an amino acid with fuzzy theory to improve the prediction accuracy.

关键词： epitope T-cell antigen physicochemical property fuzzy measure fuzzy integral SVM

作者: Ya-Li Hsiao Po-Fon Chen Cheng-Fang Tsai Hsiang-Chuan Liu Pei-Chun Chang

作者单位: Department of Bioinformatics Asia University Taichung, Taiwan, R.O.C Department of Biotechnology Asia University Taichung, Taiwan, R.O.C Department of Bioinformatics Asia Universit Taichung, Taiwan, R.O.C

会议类型: 国际会议

会议名称: 2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)

会议地点: 上海

会议语种:英文

页码: 1636-1639

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）