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SAMPLE DATA ANALYSIS METHOD BASED ON GENOMIC MODULE NETWORK

机译:基于遗传模块网络的样本数据分析方法

摘要

A method for analyzing sample data based on a genome module network includes: a computer device classifying a plurality of genes constituting the genome of the specific tissue into a plurality of genome modules based on entropy using gene expression data of the specific tissue, and the computer device Acquiring first gene expression data for normal tissue with the same tissue as the specific tissue and second gene expression data for target tissue to be analyzed with the same tissue as the specific tissue and the computer device having the first gene expression In the data, the expression data for genes belonging to all of the plurality of genome modules and the expression data for genes belonging to the plurality of genome modules from the second gene expression data are used to determine the degree of variation of the target tissue compared to the normal tissue. Includes steps to decide The. The entropy represents a correlation between at least two genes among the plurality of genes based on the probability of the expression state of the gene.
机译:一种基于基因组模块网络的样本数据分析方法,包括:计算机装置,其使用特定组织的基因表达数据,基于熵将构成特定组织的基因组的多个基因分类为多个基因组模块。装置,其获取与特定组织相同的组织的正常组织的第一基因表达数据,以及针对与特定组织相同的组织进行分析的靶组织的第二基因表达数据,以及具有第一基因表达的计算机设备。属于所有多个基因组模块的基因的表达数据和来自第二基因表达数据的属于多个基因组模块的基因的表达数据用于确定靶组织与正常组织相比的变异程度。包括确定的步骤。熵表示基于基因表达状态的概率的多个基因中的至少两个基因之间的相关性。

著录项

  • 公开/公告号KR102110262B1

    专利类型

  • 公开/公告日2020-05-13

    原文格式PDF

  • 申请/专利权人 한양대학교 산학협력단;

    申请/专利号KR20180015031

  • 发明设计人 김진혁;김혜영;

    申请日2018-02-07

  • 分类号G16B5;G16B20;

  • 国家 KR

  • 入库时间 2022-08-21 11:04:42

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