ASIA unversity:Item 310904400/16736
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 90453/105672 (86%)
Visitors : 12146824      Online Users : 730
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU 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://asiair.asia.edu.tw/ir/handle/310904400/16736


    Title: Prediction of Protein Functions based on Function-function Correlation Relations
    Authors: 吳家樂;Ng, Ka-Lok;Ciou, J-S;邱金水;黃建宏;C.H.Huang
    Contributors: 生物與醫學資訊學系
    Keywords: Protein–protein interaction;Protein function;Protein function–function correlation;Yeast protein function prediction
    Date: 2010-03
    Issue Date: 2012-11-23 17:16:26 (UTC+8)
    Abstract: "A protein function pair approach, based on protein–protein interaction (PPI) data, is proposed to predict protein functions. Randomization tests are performed on the PPI dataset, which resulted in a protein function correlation scoring value which is used to rank the relative importance of a function pair. It has been found that certain classes of protein functions tend to be correlated together. Scoring values of these correlation pairs allow us to predict the functionality of a protein given that it interacts with proteins having well-defined function annotations.

    The jackknife test is used to validate the function pair method. The protein function pair approach achieves a prediction sensitivity comparable to an approach using more sophisticated method. The main advantages of this approach are as follows: (i) a set of function–function correlation relations are derived and intuitive biological interpretation can be achieved, and (ii) its simplicity, only two parameters are needed."
    Relation: COMPUTERS IN BIOLOGY AND MEDICINE
    Appears in Collections:[Department of Biomedical informatics  ] Journal Article

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML229View/Open


    All items in ASIAIR are protected by copyright, with all rights reserved.


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