Choong Miew Keen, Yan Hong
School of Electrical and Information Engineering, University of Sydney, NSW 2006.
Bioinformation. 2008 Feb 12;2(7):273-8. doi: 10.6026/97320630002273.
This paper presents a new method for exon detection in DNA sequences based on multi-scale parametric spectral analysis. A forward-backward linear prediction (FBLP) with the singular value decomposition (SVD) algorithm FBLP-SVD is applied to the double-base curves (DB-curves) of a DNA sequence using a variable moving window sizes to estimate the signal spectrum at multiple scales. Simulations are done on short human genes in the range of 11bp to 2032bp and the results show that our proposed method out-performs the classical Fourier transform method. The multi-scale approach is shown to be more effective than using a single scale with a fixed window size. In addition, our method is flexible as it requires no training data.
本文提出了一种基于多尺度参数谱分析的DNA序列外显子检测新方法。将带有奇异值分解（SVD）算法FBLP - SVD的前后向线性预测（FBLP）应用于DNA序列的双碱基曲线（DB - 曲线），使用可变移动窗口大小来估计多尺度下的信号谱。对11bp至2032bp范围内的短人类基因进行了模拟，结果表明我们提出的方法优于经典傅里叶变换方法。多尺度方法比使用固定窗口大小的单尺度方法更有效。此外，我们的方法具有灵活性，因为它不需要训练数据。
