title: Identification of protein coding regions of rice genes using alternative spectral rotation measure and linear discriminant analysis.
abstract: 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).
authors.affiliation: Department of Statistics and Financial Mathematics, School of Mathematical Sciences, Beijing Normal University, Beijing 100875, China. jinj@genomics.org.cn
authors.forename: Jiao
authors.initials: J
authors.lastname: Jin
mesh_terms: D003062:Codon / Q000235:genetics; D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D016002:Discriminant Analysis; D005583:Fourier Analysis; D008957:Models, Genetic; D016366:Open Reading Frames / Q000235:genetics*; D012275:Oryza / Q000235:genetics*; D040901:Proteomics / Q000379:methods*
chemical_list: D003062:Codon