Accurate Prediction of Translation Initiation Sites by Universum SVM

摘要：

In order to extract protein sequences from nucleotide sequences, it is an important step to recognize points at which regions that start code for proteins. These points are called translation initiation sites (TIS). The task of recognizing TIS can be modeled as a classification problem. In this paper, we use a new pattern classification algorithm which has recently been proposed by Vapnik to deal with this problem. Numerical experiments proved the considerable improvement of this method compared with the leading existing approaches.

关键词： Support Vector Classification Translation Initiation Site Universum

作者: Tingting Gao Yingjie Tian Xiaojian Shao Naiyang Deng

作者单位: College of Science, China Agricultural University, 100083, Beijing, China Research Center on Fictitious Economy and Data Science,Chinese Academy of Sciences, Beijing 100080,

会议类型: 国际会议

会议名称: The Second International Symposium(OSB08)(第二届国际优化及系统生物学学术会议)

会议地点: 云南丽江

会议语种:英文

页码: 279-286

在线出版日期: 2008-10-31（万方平台首次上网日期，不代表论文的发表时间）