Lee Jongkeun, Kim Baeksop, Yoon Jeehee, Lee Unjoo
Department of Computer Engineering, Hallym University, Korea.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:5555-8. doi: 10.1109/IEMBS.2011.6091417.
This study proposes a novel CNV detection algorithm based on scale space filtering. It uses Gaussian filter for the convolution with a scale parameter. The range of the scale parameter is adjusted according to the coverage level of read data. The position of a CNV region is determined through a coarse and a fine searches over the scales. The results showed low dependency of the performance of the proposed method on the coverage level compared to the conventional methods. The results also showed that the proposed method outperforms the conventional methods by 63.29 ~ 73.57 %.
本研究提出了一种基于尺度空间滤波的新型拷贝数变异（CNV）检测算法。它使用高斯滤波器与一个尺度参数进行卷积。尺度参数的范围根据读取数据的覆盖水平进行调整。通过在尺度上进行粗搜索和细搜索来确定CNV区域的位置。结果表明，与传统方法相比，所提方法的性能对覆盖水平的依赖性较低。结果还表明，所提方法比传统方法性能高出63.29%至73.57%。
