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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Elsevier
2004
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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). |
format | Online Article Text |
id | pubmed-5172472 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT jinjiao identificationofproteincodingregionsofricegenesusingalternativespectralrotationmeasureandlineardiscriminantanalysis |