On the optimal window shape for genomic signal processing
The segments of DNA molecule, called genes are known to carry useful information in their protein coding regions (exons) and are responsible for protein synthesis. The most popular frequency domain technique for gene identification is by using a sliding window DFT technique to locate the well known...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Conference or Workshop Item |
| 语言: | English |
| 出版: |
2008
|
| 主题: | |
| 在线阅读: | http://irep.iium.edu.my/2340/1/On_the_Optimal_Window_Shape_for_Genomic.pdf http://irep.iium.edu.my/2340/ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4580606&tag=1 |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
| 总结: | The segments of DNA molecule, called genes are known to carry useful information in their protein coding regions (exons) and are responsible for protein synthesis. The most popular frequency domain technique for gene identification is by using a sliding window DFT technique to locate the well known period-3 property in DNA sequences. This paper investigates the use of parametric and nonparametric window types with DFT based period-3 detection method to identify the coding and noncoding regions. The HMR195 dataset was selected for the performance comparison utilizing the receiver operating characteristic (ROC) curve and area under ROC (AUC) measure. Results showed that the Bartlett window (nonparametric) and Gaussian window with alpha=2.2401 (parametric) provide the optimal window shape compared to 13 other window types for gene identification of coding and noncoding regions. |
|---|