换一批摘要A new method for predicting the gene acceptor site based on multi-objective optimization is introduced in this paper. The models for the acceptor, branch and distance between acceptor site and branch site were constructed according to the characteristics of the sequences from the exon-intron database and using common biological knowledge. The acceptor function, branch function and distance function were defined respectively, and the multi-objective optimization model was constructed to recognize the splice site. The test results show that the algorithm used in this study performs better than the SplicePredictor,which is one of the leading acceptor site detectors.
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发布时间
2007-07-26（万方平台首次上网日期，不代表论文的发表时间）
基金项目
the National High Technology Research and Development Program of China（(2002AA234021)）
国家重点基础研究发展计划(973计划)（(2002 CB 512800)）
the Science and Technology Committee of Shanghai（(K02D 105501)）
上海交通大学科研和教改项目
上海第二医科大学科研和教改项目
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