| 复杂网络整合分析方法在乳腺癌疾病机理研究中的应用 |
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| 引用本文： | 李陈鑫,董浩宇,王艳慧. 复杂网络整合分析方法在乳腺癌疾病机理研究中的应用[J]. 数学建模及其应用, 2021, 0(1): 45-50 |
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| 作者姓名： | 李陈鑫 董浩宇 王艳慧 |
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| 作者单位： | 山东科技大学数学与系统科学学院;北京交通大学理学院 |
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| 基金项目： | 山东省本科教学改革研究(M2020052);山东科技大学优秀教学团队建设计划(JXTD20190504,JXTD20160507)。 |
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| 摘 要： | 将乳腺癌相关基因抽象为节点,利用基因表达谱分别构建正常组织样本(C组)与乳腺癌样本(E组)的pearson、spearman、kendall、mutual information和mic等5种相关性网络,进而分析网络节点度在C组和E组中的差异性,筛选出17个结构性关键基因,其中12个基因已有文献证实与乳腺癌显著相关.它...
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| 关 键 词： | 相关网络 结构参数 乳腺癌 |
Application of Complex Network Integration Analysis Method in the Study of Breast Cancer Disease Mechanisms |
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| LI Chenxin,DONG Haoyu,WANG Yanhui. Application of Complex Network Integration Analysis Method in the Study of Breast Cancer Disease Mechanisms[J]. , 2021, 0(1): 45-50 |
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| Authors: | LI Chenxin DONG Haoyu WANG Yanhui |
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| Affiliation: | (College of Mathematics and Systems Science,Shandong University of Science and Technology,Qingdao,Shandong 266590,China;School of Science,Beijing Jiaotong University,Beijing 100044,China) |
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| Abstract: | In this paper,breast cancer related genes are regarded as nodes,and five kinds of correlation networks including pearson,spearman,kendall,mutual information and mic are constructed by using gene expression profiles of normal tissue samples(Group C)and breast cancer samples(Group E).Then the differences of network node degree between group C and group E are analyzed,and 17 structural key genes are identified.12 out of 17 genes have been confirmed to be significantly associated with breast cancer,mainly through two ways to participate in the process of breast cancer.One is to control the proliferation or apoptosis of breast cancer cells,the other is to promote the invasion and metastasis of breast cancer cells. |
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| Keywords: | correlation network structural parameters breast cancer |
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