首页> 外国专利> Method and System for Predicting Gene Pathway Using Expression Pattern Data and Protein Interaction Data of Gene

Method and System for Predicting Gene Pathway Using Expression Pattern Data and Protein Interaction Data of Gene

机译:利用基因的表达模式数据和蛋白质相互作用数据预测基因途径的方法和系统

摘要

This invention is a specific purpose, such as a biological interaction with the protein expression pattern data and the data of the gene relates to a method and system for predicting the pathway to do. Pathways of gene prediction method according to the invention generates partial pathways through gene pathway between extraction algorithm from the data of the gene expression pattern, and by matching the portion of the first step pathway, genes represented by the graph structure generates partial pathway through the pathway from a protein interaction data extraction algorithm, and by matching the portion of the pathway first step of displaying in a graph structure, and the graph structure, the graph and the graph structure of the second stage of the first step by fusion with a matching algorithm and a third step of displaying a graph structure. Thus pathway prediction method according to the present invention is effective for many biological experiments, rather than through, the mRNA expression pattern and the time and cost by via a protein interaction prediction data that been found that the existing path for the disease pathogenesis or can be reduced by, Also, by using two or more biological data can be improved and the reliability of the prediction result.
机译:本发明是特定目的,例如与蛋白质表达模式数据的生物相互作用,并且基因数据涉及预测途径的方法和系统。根据本发明的基因预测方法的途径通过从基因表达模式的数据的提取算法之间的基因途径产生部分途径,并且通过匹配第一步途径的部分,由图结构表示的基因通过途径产生部分途径。从蛋白质相互作用数据提取算法中提取出来,并通过匹配的算法将途径第一步的显示在图结构中的部分与图结构,第一步的第二阶段的图和图结构进行匹配第三步,显示图形结构。因此,根据本发明的途径预测方法对于许多生物学实验是有效的,而不是通过经由蛋白相互作用预测数据的mRNA表达模式以及时间和成本,通过蛋白质相互作用预测数据是有效的,该数据发现了疾病发病机理的现有途径或可以通过此外,通过使用两个或更多个生物学数据,可以改善预测结果的可靠性。

著录项

  • 公开/公告号KR100668413B1

    专利类型

  • 公开/公告日2007-01-16

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR20050068784

  • 发明设计人 정호열;신미영;박선희;

    申请日2005-07-28

  • 分类号C12Q1/68;

  • 国家 KR

  • 入库时间 2022-08-21 20:33:13

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号