Author: Liu, Guoping; Yang, Jie; Xu, Zhijie; Wang, Meng; Huang, Zhende
Title: [Further analysis and study based on a visualized method for SARS RNA sequences]. Cord-id: aydul98p Document date: 2007_1_1
ID: aydul98p
Snippet: This paper proposed a new kind of visualized method of genome. Using cellular automation theory, the visual method transfers one-dimensional RNA sequence into two-demension visual image. Applying this method to SARS RNA sequence analysis, the characteristic of SARS-CoV differing from Non-SARS is discovered. This paper extracts characteristic genome fragment, visualize them, and study them with some pattern recognition method such as PCA and SVM. The result shows that the characteristic of SARS-C
Document: This paper proposed a new kind of visualized method of genome. Using cellular automation theory, the visual method transfers one-dimensional RNA sequence into two-demension visual image. Applying this method to SARS RNA sequence analysis, the characteristic of SARS-CoV differing from Non-SARS is discovered. This paper extracts characteristic genome fragment, visualize them, and study them with some pattern recognition method such as PCA and SVM. The result shows that the characteristic of SARS-CoV is classifiable. Some combined methods can use the characteristic more sufficient as an un-routine method.
Search related documents:
Co phrase search for related documents- Try single phrases listed below for: 1
Co phrase search for related documents, hyperlinks ordered by date