绎. 53000 2. 53000 3. 53000 4. 5300 5. 530023 EXCEL R2.5.2 Cytoscape2.8.3 95 - - - - - - - doi: 0.842/wst.203.07.00 R27.44 A 25~45 75% [] [2]..2.3.4 EXCEL [3] [4] 元元元 203-0-22 203-0-28 0-046-04-K 544
203 绎 Vol.5 No.7.5 元 R2.5.2 元元 Cytoscape2.8.3 2 95 295 973 7 2. 20 2 [4] 2.2 Apriori [5] A=>B A B A B A B R2.5.2 Arules 2.2. 3 >0.6 3 - - - - - - 20 83 44 36 32 26 75 42 35 3 26 70 4 33 30 25 54 4 33 29 22 50 4 33 27 2 46 39 32 27 20 元元元 http://www.r-project.org/ http://www.cytoscape.org/ 545
绎 2 癥 - - - - - - - - - - [4] 2.2.2 4 > 0.08 >0.8 4 [6] - - - 546
203 第十五卷 第七期 绎Vol.5 No.7 图 乳腺增生中药专利复方药物间关联规则分析图 表3 乳腺增生中药专利复方中药对的关联规则分析 序号 关联规则 支持度 {土茯苓} => {三桠苦} 置信度 2 {三桠苦} => {土茯苓} 4 {功劳木} => {土茯苓} 3 5 6 7 8 {土茯苓} => {功劳木} {天葵} => {蛇莓} {功劳木} => {三桠苦} {葛根} => {泽泻} 0.666 666 667 {血竭} => {苏木} 4 5 6 7 8 3 {蛇莓} => {天葵} {泽泻} => {葛根} 2 {三桠苦} => {功劳木} 9 0 {苏木} => {血竭} {乳香} => {没药} {没药} => {乳香} {三棱} => {莪术} {莪术} => {三棱} {当归} => {柴胡} {柴胡} => {当归} 0.666 666 667 0.07 964 072 0.6 0.43 72 575 0.827 586 207 0.07 964 072 0.43 72 575 0.49 700 599 0.49 700 599 0.305 389 222 0.305 389 222 547 也W orld Science and Technology/Modernization of Traditional Chinese Medicine and Materia Medica页 0.6 0.888 888 889 0.74 285 74 0.609 756 098 0.728 57 429 0.64 457 83
绎 4 { } =>{ } 0.6 676 647 0.88 8 88 2 { } =>{ } 0.43 72 575 0.827 586 207 3 { } =>{ } 0.43 72 575 0.888 888 889 4 { } =>{ } 0.9 760 479 0.952 380 952 5 { } =>{ } 0.9 760 479 0.8 6 { } =>{ } 0.0 796 407 0.894 736 842 7 { } =>{ } 0.0 796 407 0.85 8 { } =>{ } 0.095 808 383 0.842 05 263 9 { } =>{ } 0.095 808 383 0 { } =>{ } 0.095 808 383 0.94 76 47 { } =>{ } 0.095 808 383 0.842 05 263 2 { } =>{ } 0.095 808 383 0.888 888 889 3 { } =>{ } 0.095 808 383 0.888 888 889 4 { } =>{ } 0.095 808 383 0.8 5 { } =>{ } 0.089 820 359 0.937 5 6 { } =>{ } 0.089 820 359 0.882 352 94 7 { } =>{ } 0.089 820 359 0.937 5 8 { } =>{ } 0.089 820 359 0.833 333 333 9 { } =>{ } 0.083 832 335 0.933 333 333 20 { } =>{ } 0.083 832 335 5 2.6 5 3 2.556 9 4 3.25 4 5 4.25 4 5 5 3 3 548
203 第十五卷 第七期 绎Vol.5 No.7 2.3 乳腺增生中药专利复方的网络聚类分析 乳 腺增 生中 药 专 利 复 方 中 药 物 之 间 形 成 了 一 个复杂的配伍关系网络 关联规则分析可以用来发 现其中的药对及强关联规则 但随着支持度和置信 度阈 值参数的降低 关联规则 大 量涌现 使得 其中 的配伍规律变得难以分析 应用网络聚类方法可以 有效地发现其中的配伍规律 药 物配 伍关 系 形 成 的 复 杂 网 络 存 在 着 模 块 性 的 重 要 特 性 即 在 网 络 中 存 在 药 物 的 社 团 结 构 或 功能模块 这些药物之间 配伍关系 比较 密 切 对此特性的了解可以帮助我们更好地掌握药物 的配伍规律 对于网络 模块性 的分析 可以应用 聚 类 分 析 来 实 现 具 体 聚 类 方 法 可 以 用 Cyto原 cape2.82 的插件来实现 其算法为 MCODE 方法 [7] 聚类参数设为默认值 聚类结果如表 5 聚类图示为 图 2~6 由 表 5 乳腺 增 生 中 药 专 利 复 方 配 伍 网 络 的 聚 类分析可以得到 5 个药物配伍 社团 这些配伍 图3 乳腺增生中药专利复方聚类 2 图4 乳腺增生中药专利复方聚类 3 图5 乳腺增生中药专利复方聚类 4 社团 具有相对固定而密切的联系 其中聚类 由 土 茯 苓 功 劳 木 三 桠 苦 等 药 物 构 成 具 有 清 热 解 毒 消肿止痛等作用 见图 2 聚类 2 由当归 白术 薄 荷 姜 黄 等 构 成 具 有 健 脾 疏 肝 活 血 消 肿 等 作 用 见图 3 聚类 3 由海藻 昆布 漏芦等构成 具有 软坚散结消肿 补肝肾的作用 见图 4 聚类 4 由苏 木 三棱 莪术 血竭 构成 具有 活血化瘀止痛的作 用 见图 5 聚类 5 由柴胡 淫羊藿 仙茅构成 具有 疏肝气 补肾阳的作用 见图 6 图2 乳腺增生中药专利复方聚类 549 也W orld Science and Technology/Modernization of Traditional Chinese Medicine and Materia Medica页
绎 6 5 - - - 3 95 5 - -.. :, 2008 颐 3. 2,.. :,2008 颐 43. 3.. :, 2002 颐 ~8. 4.. :, 2006 颐 ~5. 5 Han J W, Kamber M. Data Mining: Concepts and Techniques. San Francisco: Morgan Kaufmann Publishers, 2006 颐 234. 6,..., 20 颐 4. 7 Bader G D, Hogue C W. An automated method for finding molecu 原 lar complexes in large protein interaction networks. BMC Bioinfor 原 matics, 2003, 4 颐 2. Study on Medication Patterns of Chinese Patent Medicine among 95 Breast Hyperplasia Cases Shi Xueli, Deng Jiagang 2,JiangXiao 3,FanLili 2,ZhaoXiaofang 4, Guo Chaofeng 5 (. Science and Technology Department, Guangxi University of Chinese Medicine, Nanning 53000 China; 2. College of Pharmacy, Guangxi University of Chinese Medicine, Nanning 53000 China; 3. School of Preclinical Medicine, Guangxi University of Chinese Medicine, Nanning 53000 China; 4. Ruikang Hospital A ffiliated to Guangxi University of Chinese Medicine, Nanning 5300 China; 5. The First A ffiliated Hospital of Guangxi University of Chinese Medicine, Nanning 530023 China) Abstract: This study was aimed to reveal the medication patterns of Chinese patent medicine in the treatment of breast hyperplasia based on association rules and clustering of data mining technology. Articles on Chinese patent medicine in the treatment of breast hyperplasia were retrieved from databases. External formulas or those mixed with western drugs were excluded. Terminologies in the selected formulas were standardized. Information was extracted to build excel tables. Association rules analysis and cluster analysis were used to reveal the medication patterns of Chi 鄄 nese patent medicine in the treatment of breast hyperplasia with software R2.5.2 and Cytoscape 2.8.3. The results 550
203 绎 Vol.5 No.7 showed that Chinese medicinals with higher frequency in 95 formulas were Radix bupleuri, Rhizoma cyperi, Chinese Angelica, Selfheal, White Peony Root, Trichosanthes kirilowii Maxim et al. Chinese medicinals with lower frequency were Chinese A langium leaf, Rhinacanthus nasutus et al. The commonly used herbal pairs were Radix bupleuri - Chinese Angelica, Rhizoma curcumae - Rhizoma sparganii, frankincense - myrrh et al. The strong association rules indicated that Xiaoyaosan, which takes Radix bupleuri and Chinese Angelica as its core, is the key character of Chinese patent medicine in the treatment of breast hyperplasia. The cluster analysis revealed several Chinese medicine "functional modules", such as Fructus forsythiae - Rhizoma smilacis glabrae - Evodia lepta - Chinese mahonia stem - Lignum millettiae et al. It was concluded that the herbal frequency, herbal pairs, strong associa 鄄 tion rules and cluster analysis can reveal the medication patterns of Chinese patent medicine in the treatment of breast hyperplasia in order to provide reference evidences in the optimization of clinical treatment formula and im 鄄 provement of therapeutic efficacy. Keywords: Breast hyperplasia, Chinese patent medicine, association rules, cluster 55