乳腺癌相关基因的相互作用提取

2018 IEEE 16th International Conference on Software Engineering Research, Management and Applications (SERA) Pub Date : 2018-06-01 DOI:10.1109/SERA.2018.8477190

Lejun Gong, Daoyu Huang, Shixin Sun, Z. Gao, Chuandi Pan, R. Yang, Yongmin Li, Geng Yang

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引用次数: 1

摘要

乳腺癌是世界上最常见的女性疾病。其病理尚不清楚。遗传因素是理解分子机制的途径。本文提出了一种计算方法来探索与乳腺癌相关的基因之间的相互作用。我们首先定义了genes2基因的相互作用，并描述了genes2基因相互作用的表征。利用实验数据集，我们实现了提出的方法来提取基因之间的相互作用。此外，我们还以关系矩阵和网络可视化两种形式表示了genes2genes之间的相互作用。通过人工分析，我们提取了与乳腺癌相关的前10个基因的相互作用，这表明该方法在研究乳腺癌相关的分子机制方面是有前景的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Extraction of Interactions of Genes2Genes Related to Breast Cancer

Breast cancer is the most prevalent disease to females in the worldwide. Its pathology remains unclear. Genetics factors is the ways to understand the molecular mechanism. This paper proposed a computational approach to explore the interactions of genes2genes related to breast cancer. We first defined the interactions of genes2genes, and described the representation of interactions of genes2genes. Using the experimental dataset, we implemented the proposed approach for extracting the interactions of genes2genes. Moreover, we also represented the interactions of genes2genes in two forms: relationship matrix and network visualization. By manual analysis, we extracted the interactions of top 10 genes2genes is related to breast cancer, which show the approach is promising for studying molecular mechanism related to breast cancer.

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2018 IEEE 16th International Conference on Software Engineering Research, Management and Applications (SERA)

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