直肠癌相关基因及方剂组方规律分析

发布时间：2018-05-20 14:06

本文选题：方剂 + 大肠癌　；参考：《中华中医药学刊》2017年04期

【摘要】：目的:建立直肠癌的蛋白质相互作用网络,并分析直肠癌方剂的组方规律,从基因蛋白质角度对接。方法:收集并筛选《肿瘤方剂大辞典》中主治直肠癌的方剂,录入中医传承辅助系统,利用改进互信息法、复杂系统熵聚类、无监督的熵层次聚类等无监督数据挖掘方法,分析直肠癌方剂的组方规律。结果:对筛选出的125首治疗直肠癌的方剂进行分析,确定处方中药物出现的频次,演化得到核心组合32个,新处方16个。结论:应用数据挖掘方法总结直肠癌方剂组成,可以发现组方规律,为临床用药提供依据。
[Abstract]:Aim: to establish the protein interaction network of rectal cancer and analyze the formula of rectal cancer prescription. Methods: the main prescriptions for rectal cancer were collected and screened, and the methods of unsupervised data mining such as improved mutual information method, entropy clustering of complex systems, unsupervised entropy hierarchical clustering, etc. To analyze the rule of prescription of rectal cancer. Results: 125 prescriptions for the treatment of rectal cancer were analyzed and the frequency of the drugs in the prescriptions was determined. 32 core combinations and 16 new prescriptions were obtained. Conclusion: data mining method can be used to summarize the composition of rectal cancer prescriptions and provide evidence for clinical use.
【作者单位】：复旦大学附属肿瘤医院中西医结合科;复旦大学公共卫生学院公共卫生安全教育部重点实验室;上海中医药大学附属上海市中医医院肿瘤科;
【基金】：国家自然科学基金面上项目(81573757);国家自然科学基金青年科学基金项目(81503524) 上海市杏林新星项目(ZY3-RCPY-2-2024)
【分类号】：R273

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