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請使用永久網址來引用或連結此文件:
http://ir.hust.edu.tw/dspace/handle/310993100/297
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| 題名: | A Study of RNA Structure Automatic Classification by Using Neural Network |
| 作者: | Chuen-Der Huang |
| 貢獻者: | Department of Electrical Engineering |
| 關鍵詞: | SCOR
RNA
neural network
motif |
| 日期: | 2005-09
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| 上傳時間: | 2008-08-22T11:13:52Z
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| 摘要: | Structure Classification Of RNA (SCOR) is an evolving resource that will continue growing as more RNA structures become available. The RNA structure classification task must be done carefully with experimental process to complete the final result. It is not only a hard but time-consuming job to complete this work as other works in bioinformatics. Recognizing the importance of the difficulty of the subject and propose the machine learning method to solve this problem, the study has been made.
The RNA sequences data we used come from the SCOR database and has been grouped according to their functions by using machine learning methods with a simple neural network. The radial based function neural networks (RBFN) are chosen here to accomplish
the task. With the method we applied, the prediction results can reach to higher than 83 %. The SCOR database comes from the open web site of SCOR. |
| 關聯: | 修平學報 11, 113-122 |
| 顯示於類別: | [電機工程系(含碩士班)] 期刊論文
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文件中的檔案:
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大小 | 格式 | 瀏覽次數 |
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| 11-08利用類神經網路作RNA結構自動分類之研究.pdf | 719Kb | Adobe PDF | 1564 | 檢視/開啟 |
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