Identification of Protein Coding Regions of Rice Genes Using Alternative Spectral Rotation Measure and Linear Discriminant Analysis

作     者：Jiao Jin 

作者机构：Department of Statistics and Financial MathematicsSchool of Mathematical SciencesBeijing Normal Uni-versityBeijing 100875 Beijing Genomics InstituteBeijing 101300China 

出 版 物：《Genomics, Proteomics & Bioinformatics》 (基因组蛋白质组与生物信息学报（英文版）)

年 卷 期：2004年第2卷第3期

页      面：167-173页

核心收录：

学科分类：09[农学] 0901[农学-作物学] 

主　　题：Alternative Spectral Rotation measure DFT nonparametric fitting LDA 

摘      要：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 di?erent 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).