• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Helenic Conference on Artificial Intelligence(AI),(SETN 2006); 20060518-20; Heraklion(GR) >Prediction of Translation Initiation Sites Using Classifier Selection
【24h】

Prediction of Translation Initiation Sites Using Classifier Selection

机译：使用分类器选择预测翻译起始位点

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The prediction of the translation initiation site (TIS) in a genomic sequence is an important issue in biological research. Several methods have been proposed to deal with it. However, it is still an open problem. In this paper we follow an approach consisting of a number of steps in order to increase TIS prediction accuracy. First, all the sequences are scanned and the candidate TISs are detected. These sites are grouped according to the length of the sequence upstream and downstream them and a number of features is generated for each one. The features are evaluated among the instances of every group and a number of the top ranked ones are selected for building a classifier. A new instance is assigned to a group and is classified by the corresponding classifier. We experiment with various feature sets and classification algorithms, compare with alternative methods and draw important conclusions.
机译：基因组序列中翻译起始位点（TIS）的预测是生物学研究中的重要问题。已经提出了几种方法来处理它。但是，这仍然是一个未解决的问题。在本文中，我们遵循一种由多个步骤组成的方法，以提高TIS预测的准确性。首先，扫描所有序列并检测候选TIS。这些位点根据其上游和下游序列的长度进行分组，并为每个位点生成许多特征。在每个组的实例之间评估功能，并选择一些排名最高的功能来构建分类器。将新实例分配给一个组，并由相应的分类器分类。我们尝试了各种功能集和分类算法，与替代方法进行比较并得出重要结论。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号