English  |  正體中文  |  简体中文  |  Items with full text/Total items : 90120/105278 (86%)
Visitors : 9185361      Online Users : 963
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/310904400/8118

    Title: A data mining method to predict transcriptional regulatory sites based on differentially expressed genes in human genome
    Authors: H. D. Huang;H. L. Chang;T. S. Tsou;B. J. Liu;J. T. Horng
    Contributors: Department of Bioinformatics
    Keywords: regulatory site;transcription factor;data mining;gene expression;UniGene;EST
    Date: 2003-11
    Issue Date: 2010-03-19 16:24:22 (UTC+8)
    Publisher: Asia University
    Abstract: Very large-scale gene expression analysis, i.e., UniGene and dbEST, is provided to
    find those genes with significantly differential expression in specific tissues. The differentially
    expressed genes in a specific tissue are potentially regulated concurrently by a
    combination of transcription factors. This study attempts to mine putative binding sites
    on how combinations of the known regulatory sites homologs and over-represented repetitive
    elements are distributed in the promoter regions of considered groups of differentially
    expressed genes. We propose a data mining approach to statistically discover the
    significantly tissue-specific combinations of known site homologs and over-represented
    repetitive sequences, which are distributed in the promoter regions of differentially gene
    groups. The association rules mined would facilitate to predict putative regulatory elements
    and identify genes potentially co-regulated by the putative regulatory elements.
    Relation: Journal of Information Science and Engineering 19 (6): 923-942
    Appears in Collections:[生物資訊與醫學工程學系 ] 期刊論文

    Files in This Item:

    File Description SizeFormat
    310904400-8118.doc38KbMicrosoft Word121View/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