Jin Jiao
Department of Statistics and Financial Mathematics, School of Mathematical Sciences, Beijing Normal University, Beijing 100875, China.
Genomics Proteomics Bioinformatics. 2004 Aug;2(3):167-73. doi: 10.1016/s1672-0229(04)02022-4.
An improved method, called Alternative Spectral Rotation (ASR) measure, for predicting protein coding regions in rice DNA has been developed. The method is based on the Spectral Rotation (SR) measure proposed by Kotlar and Lavner, and its accuracy is higher than that of the SR measure and the Spectral Content (SC) measure proposed by Tiwari et al. In order to increase the identifying accuracy, we chose three different coding characters, namely the asymmetric, purine, and stop-codon variables as parameters, and an approving result was presented by the method of Linear Discriminant Analysis (LDA).
一种用于预测水稻DNA中蛋白质编码区的改进方法——交替谱旋转(ASR)测量法已被开发出来。该方法基于科特拉尔和拉夫纳提出的谱旋转(SR)测量法,其准确性高于SR测量法以及蒂瓦里等人提出的谱含量(SC)测量法。为了提高识别准确性,我们选择了三个不同的编码特征,即不对称性、嘌呤和终止密码子变量作为参数,并通过线性判别分析(LDA)方法给出了一个令人满意的结果。