ASIA unversity:Item 310904400/2536
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 94286/110023 (86%)
造访人次 : 21696315      在线人数 : 946
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


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://asiair.asia.edu.tw/ir/handle/310904400/2536


    题名: Discovering Cancer-related Genes based on Differential Expression of cDNA Microarray
    作者: Shen Shih-Shan
    贡献者: Department of Bioinformatics
    关键词: Bioinformatics;Oncogene;Tumor suppressor gene;Microarray;T-test
    日期: 2004
    上传时间: 2009-11-06 14:31:30 (UTC+0)
    出版者: Asia University
    摘要: The processes of oncogenesis are multiple steps, which include the activation of oncogenes, inactivation of tumor suppressor genes, and the mutations of DNA repair genes and other cancer-related factors. All the above phenomena cause changes in the processes of cell growth, differentiation, reproducing, and apoptosis. Especially, the over-expression of oncogenes plays a very important role in the initial state of numerous cancer cases. On the other hand, tumor suppressor genes are the brakes of growth. Loss of function in tumor suppressor genes makes the tumor formation more possible. Many tumor suppressor genes had been identified in the past. However, oncogenes that have been identified present only the tip of the iceberg. More oncogenes are waiting us to discover. Mining the human genome to identify genetic mutations that cause cancer is like looking for needles in a haystack, especially by using the traditional one-by-one analysis method. For now, cDNA microarray can be used to analyze the changes of the gene expression in different cancer cells in a high throughput manner. A lot of microarray data had been accumulated from the cancer-related researches in the past. It is quite interesting to mine useful information from these data to find possible cancer-related genes.
    In this thesis, we propose a bioinformatic approach to discover possible cancer-related genes based on differential expression of cDNA microarray databases for cancer and normal tissues. The t-test is also used to assess the significance of the differential expression. The proposed cancer-related genes discovering system will narrow down the range of bio-experiments and avoid some unnecessary experiments. It can really help the biologist to seek the cancer-related genes more efficient.
    显示于类别:[生物資訊與醫學工程學系 ] 博碩士論文

    文件中的档案:

    档案 大小格式浏览次数
    0KbUnknown532检视/开启


    在ASIAIR中所有的数据项都受到原著作权保护.

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