English  |  正體中文  |  简体中文  |  Items with full text/Total items : 57615/91160 (63%)
Visitors : 13534950      Online Users : 335
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/75836

    Title: Protein Disordered Region Prediction by SVM with Post-Processing
    Authors: Hsieh, Cheng-wei;Hsu, Hui-huang;Lu, Ming-da
    Contributors: 淡江大學資訊工程學系
    Keywords: Post processing;Protein disordered region;Protein structure prediction;SVM;Smoothing
    Date: 2008-03
    Issue Date: 2012-04-17 22:18:32 (UTC+8)
    Publisher: IEEE Computer Society
    Abstract: 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%.
    Relation: Proceedings of the 2nd International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2008), pp.693-698
    DOI: 10.1109/CISIS.2008.75
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

    Files in This Item:

    File Description SizeFormat
    Protein Disordered Region Prediction by SVM with Post-Processing.pdf410KbAdobe PDF332View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback