Kalman Filtering Approach for Human Gene Finding
With the enormous amount of biological sequences that are available in the public domain, signal processing methods are playing an important role in genomic data processing. At first, we review the popular Voss representation which maps the alphabetic DNA sequence into the digital series. Secondly, in terms of the period-3 behavior of protein coding segments, the Kalman filtering approach for genomic signal processing is proposed, which can analyze and predict genes from real DNA sequences Thirdly, the presented approach is applied to identify the exons in a real human nucleotide sequence. It is shown that the developed method is useful for human gene identification by experiments.
genomic signal processing Voss mapping period3 behavior human gene Kalmanfilter
Baoshan Ma Yi-Sheng Zhu
College of Information Science and Technology Dalian Maritime University Dalian, Liaoning, 116026, China
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
525-528
2010-07-05（万方平台首次上网日期，不代表论文的发表时间）