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针对卵巢癌化疗反应(ovarian cancer chemotherapy response,OCCR)基因调控模型问题,文中提出一种基于基因团搜索建立基因网络的方法。利用搜索基因对基因组进行搜索,找到与之相关的基因团,通过桥基因拼接得到基因网络,并对结果从统计学和生物学角度进行验证。统计检验显示基因间关系显著,且基因间动态关系变化明显。丰度分析表明,基因团显著参与了生物调控过程。独立的网络分析及调控路径分析显示了基因团之间强烈的调控关系。大量文献查询显示,该基因网络在肿瘤形成、细胞增殖及转移中起重要作用,且与卵巢癌化疗反应有密切关系。
In order to solve the problem of ovarian cancer chemotherapy response (OCCR) gene regulation model, a genetic algorithm based on genome search is proposed in this paper. Using the search gene to search the genome, find the related gene cluster, get the gene network through the bridge gene splicing, and validate the results from the statistics and the biological point of view. Statistical tests revealed significant relationships among genes and significant changes in the dynamic relationships among genes. Abundance analysis showed that the gene cluster was significantly involved in the biological regulation process. Independent network analysis and regulatory path analysis showed a strong regulatory relationship between the gene clusters. A large number of literature inquiries show that the gene network plays an important role in tumor formation, cell proliferation and metastasis, and is closely related to the chemotherapy response to ovarian cancer.