2) splice site
剪接位点
1.
Identification of splice sites based on feature mining and integration;
基于特征挖掘与融合的剪接位点识别
2.
Splice Site Identification Based on Hidden Markov Support Vector Machines;
基于HM-SVM的剪接位点识别
3.
Eukaryotic DNA Splice Site Identification Based on the Machine Learning Approach;
基于机器学习方法的基因剪接位点识别研究
3) splice sites
剪接位点
1.
Application of Takagi-Sugeno model in the recognition of splice sites;
Takagi-Sugeno模型在剪接位点识别中的应用
2.
Rough set-genetic algorithms-k-nearest neighbor and its application in DNA sequence splice sites recognition;
RS-GA-KNN算法识别灵长类动物DNA序列剪接位点
3.
Experimental results show that HMM is good at retrieving the statistical characteristics of consensus sequences around splice sites and the recognition rat.
隐Markov模型(Hidden Markov model,HMM)用于基因识别研究是生物信息学研究的新领域,剪接位点的识别是基因识别中的一个重要环节。
4) splicing sites
剪接位点
1.
Secondary structural characteristic of eukaryotic gene splicing sites;
真核基因剪接位点二级结构特征
2.
Application of hidden Markov model in the recognition of splicing sites;
隐Markov模型在剪接位点识别中的应用
5) cleavage sites prediction
剪切点预测
补充资料：发育进度预测法(见发生期预测)
发育进度预测法(见发生期预测)
发育进度预测法见发生期预测。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条