关键词: 剪接位点识别, 机器学习, 概率统计特征

Abstract: According to the statistical features of consensus sequences around splice sites，there exists a variety of identification of machine learning with higher precision，but the process of algorithm is more complex，such as method based on statistical probability，Hidden Markov Model（HMM） and Support Vector Machines（SVM） etc.According to the correlation between splice sites and statistical features，this paper presents a statistical feature method which is based on structural drawing network between the bases，tests and evaluates the method performance using N269 database.The experimental results show that the method proposed has better preformance in prediction results with less parameters and higher precision than other algorithms.

Key words: splice site recognition, machine learning, statistical features