ASIA unversity:Item 310904400/13106
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 90452/105769 (86%)
造访人次 : 11946427      在线人数 : 420
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻
    ASIA unversity > 資訊學院 > 資訊傳播學系 > 會議論文 >  Item 310904400/13106


    题名: A Framework for Cancer-related Genes Mining over the Internet
    作者: 陳士農;Chen, Shih-Nung
    贡献者: 資訊傳播學系
    日期: 2003-03
    上传时间: 2012-11-22 16:45:56 (UTC+8)
    摘要: Clinically, cancer is a complex family of diseases. From the view of molecular biology, cancer is a genetic disease resulting from abnormal gene expression. This alternation of gene expression could be resulting from DNA instability, such as translocation, amplification, deletion or point mutations. A large amplification or deletion of a chromosome region can be easily detected by two methods: loss of heterozygosity (LOH) and comparative genomic hybridization (CGH). The different gene expression pattern can be monitored by high throughput microarray analysis. Enormous data accumulated by practicing these technologies and the data pool is continuing enlarging with an amazing rate. To aid investigators mining useful information in these data deposits, new data storing and analysis tools must be developed. Two value-added databases are constructed to achieve this purpose. They contain information of genes in the unstable regions of cancer cells basing on the data accumulated from LOH and CGH experiments and information of cancer cell gene expression profiles according to microarray analysis, respectively. An automatic system to retrieve interesting gene information, to compare with the known databases, to analyze and predict the protein functions, and to group the genes of the same function will be integrated into the database circuit. An automatic update system will be installed and performed after the setup of the two databases. The system keeps also the probability to modify and to accept new data obtained from any new techniques. Our goal is to help biologists to find the needles in a haystack that is, to find the real cancer-related genes (oncogenes or tumor suppressor genes) for further research purpose.
    關聯: 3rd IEEE Symposium on Bioinformatics and Bioengineering (BIBE 2003)
    显示于类别:[資訊傳播學系] 會議論文


    档案 描述 大小格式浏览次数


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