A hybrid method for splice site prediction based on Markov model and codon information
文献类型：期刊论文
| 作者 | Wei, Dan; Peng, Yin; Wei, Yanjie; Jiang, Qingshan; Fang, Jinglong |
| 刊名 | INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS
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| 出版日期 | 2016 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Predicting splice sites is very important for gene identification. In this paper, we propose a hybrid splice site prediction method, SVM with Markov model and Codon usage (MC-SVM). The sequence features used for MC-SVM contain the codon bias information and the Markov probabilistic dependence information between adjacent nucleotides. Feature selection is... |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/12566]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS |
| 推荐引用方式 GB/T 7714 | Wei, Dan,Peng, Yin,Wei, Yanjie,et al. A hybrid method for splice site prediction based on Markov model and codon information[J]. INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS,2016. |
| APA | Wei, Dan,Peng, Yin,Wei, Yanjie,Jiang, Qingshan,&Fang, Jinglong.(2016).A hybrid method for splice site prediction based on Markov model and codon information.INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS. |
| MLA | Wei, Dan,et al."A hybrid method for splice site prediction based on Markov model and codon information".INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS (2016). |
入库方式： OAI收割
来源：深圳先进技术研究院
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