會議論文
| 學年 | 96 |
|---|---|
| 學期 | 2 |
| 發表日期 | 2008-03-04 |
| 作品名稱 | Protein Disordered Region Prediction by SVM with Post-Processing |
| 作品名稱（其他語言） | |
| 著者 | Hsieh, Cheng-wei; Hsu, Hui-huang; Lu, Ming-da |
| 作品所屬單位 | 淡江大學資訊工程學系 |
| 出版者 | IEEE Computer Society |
| 會議名稱 | Proceedings of the 2nd International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2008) |
| 會議地點 | Barcelona, Spain |
| 摘要 | In proteomics, a proteinpsilas function is always strongly related to its structure. But, while some parts of a protein have a fixed definite structure, such as alpha-helix, beta-sheet, or coil, other parts are not associated with well-defined conformations. Previously, these so-called disordered regions were not thought to have a specific function of their own. But, recent studies suggest that some disordered regions may have important signaling or regulatory functions. In addition, some critical diseases are strongly related to these disordered regions. Hence, prediction of these disordered regions is essential. In this paper, we try to use the support vector machine (SVM) to predict the disordered regions. Furthermore, this paper emphasizes post processing of the SVM prediction results. Two post-processing algorithms are introduced. These algorithms are used to smooth the primary results by SVM. Different from other studies, these smoothing steps are related to the neighborspsila distance to the candidate node. The results show that these algorithms can improve the prediction accuracy further by 1%. |
| 關鍵字 | Post processing; Protein disordered region; Protein structure prediction; SVM; Smoothing |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | |
| 研討會時間 | 20080304~20080307 |
| 通訊作者 | |
| 國別 | ESP |
| 公開徵稿 | |
| 出版型式 | |
| 出處 | Proceedings of the 2nd International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2008), pp.693-698 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/75836 ) |