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基于Bootstrap的中药模糊评价的多重检验
引用本文:郭安良,陆涛,尚婧,言方荣. 基于Bootstrap的中药模糊评价的多重检验[J]. 数理医药学杂志, 2014, 0(1): 9-13
作者姓名:郭安良  陆涛  尚婧  言方荣
作者单位:中国药科大学生物统计与计算药学研究中心,南京210009
基金项目:资助项目:中央高校专项业务经费JKPZ2013015;国家自然科学基金重点项目NSFC81130068
摘    要:目的:研究Bootstrap方法结合多重检验在中药多组分鉴别中的应用。方法:运用Bootstrap方法和R软件,检验给药组与控制组、模型两两比较差异的显著性。结果:通过本方法得到了各给药组与控制组、模型组的拟合曲线,以及在组内每个分子上的检验结果。结论:在中药模糊评价中,运用Bootstrap结合多重检验方法,检验中药组分是否具有显著性差异,具有可行性。

关 键 词:Bootstrap  多重检验  中药  模糊评价  SELDI蛋白芯片技术

Multiple Testing in Fuzzy Evaluation of Traditional Chinese Medicine Based on Bootstrap
Affiliation:Guo Anliang, et al (China Pharmaceutical University, ResearchCenter o fBiostatisticsand ComputationalPharmacy, Nanjing 210009)
Abstract:Objective: To investigate the application of Bootstrap combined with multiple tests in test of multiple components of traditional Chinese medicine. Methods: Bootstrap method and R software were used for testing the significance of difference among trial group, control group and model group. Results: The fit- ted curves were obtained for trial group, control group and model group first, and then we got the test re- sults on the molecule level by the proposed method. Conclusion. Bootstrap method combines with the multi- ple tests is applicable in the fuzzy evaluation of traditional Chinese medicine.
Keywords:Bootstrap  multiple testing  traditional Chinese medicine  fuzzy evaluation~ SELDI proteinchip technology
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