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

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 Spectr...

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Detalles Bibliográficos
Autor principal: Jin, Jiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5172472/
https://www.ncbi.nlm.nih.gov/pubmed/15862117
http://dx.doi.org/10.1016/S1672-0229(04)02022-4
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author Jin, Jiao
author_facet Jin, Jiao
author_sort Jin, Jiao
collection PubMed
description 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).
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spelling pubmed-51724722016-12-23 Identification of Protein Coding Regions of Rice Genes Using Alternative Spectral Rotation Measure and Linear Discriminant Analysis Jin, Jiao Genomics Proteomics Bioinformatics Article 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). Elsevier 2004-08 2016-11-28 /pmc/articles/PMC5172472/ /pubmed/15862117 http://dx.doi.org/10.1016/S1672-0229(04)02022-4 Text en . http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Jin, Jiao
Identification of Protein Coding Regions of Rice Genes Using Alternative Spectral Rotation Measure and Linear Discriminant Analysis
title Identification of Protein Coding Regions of Rice Genes Using Alternative Spectral Rotation Measure and Linear Discriminant Analysis
title_full Identification of Protein Coding Regions of Rice Genes Using Alternative Spectral Rotation Measure and Linear Discriminant Analysis
title_fullStr Identification of Protein Coding Regions of Rice Genes Using Alternative Spectral Rotation Measure and Linear Discriminant Analysis
title_full_unstemmed Identification of Protein Coding Regions of Rice Genes Using Alternative Spectral Rotation Measure and Linear Discriminant Analysis
title_short Identification of Protein Coding Regions of Rice Genes Using Alternative Spectral Rotation Measure and Linear Discriminant Analysis
title_sort identification of protein coding regions of rice genes using alternative spectral rotation measure and linear discriminant analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5172472/
https://www.ncbi.nlm.nih.gov/pubmed/15862117
http://dx.doi.org/10.1016/S1672-0229(04)02022-4
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