基于哈达马德代码的数值映射方法用于识别基因组序列中的蛋白质编码区域,使用数字过器
Shaik Benarjee1, Naveen Kumar Vaegae1
1School of Electronics Engineering, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India.
Computers in biology and medicine
|June 20, 2025
概括
一种新的哈达马德基于数字编码 (HBNE) 方法提高了使用数字信号处理 (DSP) 在DNA序列中的蛋白质编码区域预测. 这种方法提高了准确性,并有助于基因组研究.
科学领域:
- 生物医学工程 生物医学工程
- 基因组学就是基因组学.
- 计算生物学 计算生物学
背景情况:
- 数字信号处理 (DSP) 对于分析基因组序列至关重要.
- 在DNA中识别蛋白质编码区域依赖于检测周期-3模式.
- 现有的DNA分析数值编码方法存在局限性.
研究的目的:
- 引入一种新的哈达马德基于数值编码 (HBNE) 方法,以改进蛋白质编码区域的预测.
- 整合HBNE与先进的信号处理技术,如圆过器和高斯式窗口.
- 为了提高在脱氧核酸 (DNA) 序列中识别编码区域的准确性.
主要方法:
- 开发了一种基于哈达马德的数字编码 (HBNE) 用于DNA序列.
- 应用信号处理技术,包括带高斯窗的圆过器.
- 利用离散里埃转换 (DFT) 进行第3期属性检测和噪声抑制.
主要成果:
- 在预测蛋白质编码区域方面,HBNE方法获得了95%的准确性.
- 在拟议的方法中,曲线下的面积 (AUC) 达到92%.
- HBNE的性能优于Voss,TBNE,FBNE,IBNE和WCBNE等现有的编码方法.
结论:
- 在蛋白质编码区域的准确预测方面,HBNE方法提供了显著的进步.
- 这种方法有效地将数值编码与DSP相结合,用于增强基因组序列分析.
- HBNE为生物医学工程和基因研究提供了更强大的工具.
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