A Binary Probabilistic Model and Genetic Algorithm for HIV Protease Cleavage Sites Prediction and Search

摘要：

This paper presents a Binary Probabilistic Model (BPM) for HIV protease cleavage sites prediction. BPM provides a quick learning scheme with comparative performance compared with back-propagation neural network. After modelling, genetic algorithm is used to search for new HIV protease cleavage sites by applying the Bayesian theory, which minimises the probability of misclassification.

作者: Zheng Rong Yang

作者单位: Dept. of Computer Science, Exeter University,Exeter EX4 4PT, UK

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 885-890

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）