{"id":73194,"date":"2026-11-15T14:50:19","date_gmt":"2026-11-15T06:50:19","guid":{"rendered":"https:\/\/www.biocloudservice.com\/wordpress\/?p=73194"},"modified":"2026-11-15T14:50:19","modified_gmt":"2026-11-15T06:50:19","slug":"edger-tmm-effective-library-filter-design-ql-practice","status":"publish","type":"post","link":"https:\/\/www.biocloudservice.com\/wordpress\/edger-tmm-effective-library-filter-design-ql-practice\/","title":{"rendered":"edgeR \u5b9e\u8dd1\u590d\u76d8\uff0c\u539f\u59cb\u8ba1\u6570\u6ca1\u53d8\uff0c\u4e3a\u4ec0\u4e48 TMM \u4f1a\u6539\u53d8\u5dee\u5f02\u7ed3\u679c"},"content":{"rendered":"
\n

\u540c\u4e00\u4e2a\u7279\u5f81\u5728\u5341\u4e8c\u4e2a\u6837\u672c\u4e2d\u7684\u539f\u59cb\u8ba1\u6570\u90fd\u7b49\u4e8e\u4e00\u767e\uff0c\u52a0\u5165 TMM \u56e0\u5b50\u540e\u6ca1\u6709\u660e\u663e\u5dee\u5f02\uff0c\u53ea\u6309\u6587\u5e93\u603b\u91cf\u5904\u7406\u65f6\u5374\u51fa\u73b0\u663e\u8457\u4e0b\u964d\u3002\u8fd9\u5e76\u975e\u6539\u5199\u4e86\u539f\u59cb\u8ba1\u6570\uff0c\u800c\u662f\u540c\u6837\u7684\u4e00\u767e\uff0c\u88ab\u653e\u5728\u4e86\u4e0d\u540c\u7684\u6709\u6548\u6587\u5e93\u80cc\u666f\u4e2d\u89e3\u91ca\u3002\u672c\u6b21\u7528\u660e\u786e\u6784\u9020\u7684\u7ec4\u6210\u504f\u79fb\uff0c\u5b9e\u9645\u8fd0\u884c edgeR\uff0c\u68c0\u67e5\u6807\u51c6\u5316\u5230\u5e95\u6539\u53d8\u4e86\u4ec0\u4e48\u3002<\/p>\n

\u6587\u7ae0\u8fd8\u5b89\u6392\u4e86\u4e00\u4e2a\u4f4e\u8868\u8fbe\u8fc7\u6ee4\u5bf9\u7167\u3002\u76f8\u540c\u8f93\u5165\u53ea\u6539\u53d8\u8fc7\u6ee4\u65f6\u4f7f\u7528\u7684\u5206\u7ec4\u6216\u8bbe\u8ba1\u4fe1\u606f\uff0c\u5c31\u4f1a\u51fa\u73b0\u4e0d\u540c\u7684\u4fdd\u7559\u7ed3\u679c\u3002\u8bfb\u8005\u53ef\u4ee5\u636e\u6b64\u68c0\u67e5\u81ea\u5df1\u7684\u5206\u6790\u6d41\u7a0b\uff0c\u907f\u514d\u628a\u8fc7\u6ee4\u3001\u6807\u51c6\u5316\u548c\u6a21\u578b\u68c0\u9a8c\u6df7\u6210\u4e00\u6761\u4e0d\u53ef\u89e3\u91ca\u7684\u9ed1\u7bb1\u547d\u4ee4\u3002<\/p>\n

\"\u8ba1\u6570\u6ca1\u53d8\uff0c\u5dee\u5f02\u7ed3\u8bba\u4e3a\u4ec0\u4e48\u53d8\u4e86\u3002\u7ec4\u6210\u504f\u79fb\u6a21\u62df
\u7ec4\u6210\u504f\u79fb\u6a21\u62df \u00b7 TMM \u4e0e\u5355\u4f4d\u56e0\u5b50\u5bf9\u7167\u5b9e\u8dd1<\/figcaption><\/figure>\n

\u8fd9\u6b21\u5b9e\u9645\u8fd0\u884c\u4e86\u54ea\u4e9b\u90e8\u5206<\/h2>\n

\u6211\u4eec\u5b89\u88c5 edgeR 4.8.2 \u548c limma 3.66.0\uff0c\u5728 R 4.5.2 \u73af\u5883\u4e2d\u8fd0\u884c\u8ba1\u6570\u8fc7\u6ee4\u3001TMM \u56e0\u5b50\u4f30\u8ba1\u3001\u51c6\u4f3c\u7136\u6a21\u578b\u548c\u6548\u5e94\u95e8\u69db\u68c0\u9a8c\u3002\u8f93\u5165\u77e9\u9635\u3001\u5206\u7ec4\u4fe1\u606f\u53ca\u7ed3\u679c\u8868\u5747\u7531\u811a\u672c\u751f\u6210\u6216\u5bfc\u51fa\uff0c\u6ca1\u6709\u771f\u5b9e\u6d4b\u5e8f\u6837\u672c\uff0c\u4e5f\u6ca1\u6709\u62ff\u6a21\u62df\u7ed3\u679c\u8bc4\u4ef7\u65b9\u6cd5\u5728\u771f\u5b9e\u9879\u76ee\u4e2d\u7684\u51c6\u786e\u7387\u3002<\/p>\n

\u4e3b\u5b9e\u9a8c\u6709\u5341\u4e8c\u4e2a\u6837\u672c\uff0c\u5206\u6210\u4e24\u4e2a\u6279\u6b21\uff0c\u6bcf\u6279\u5404\u6709\u4e09\u4e2a\u5bf9\u7167\u548c\u4e09\u4e2a\u5904\u7406\u3002\u8fd9\u6837\u53ef\u4ee5\u5728\u6bcf\u4e2a\u6279\u6b21\u5185\u90e8\u8fdb\u884c\u6761\u4ef6\u6bd4\u8f83\uff0c\u540c\u65f6\u5728\u6a21\u578b\u91cc\u5305\u542b\u6279\u6b21\u9879\u3002\u77e9\u9635\u6709\u4e24\u5343\u56db\u767e\u4e8c\u5341\u4e00\u884c\uff0c\u5176\u4e2d\u4e24\u5343\u884c\u6309\u8d1f\u4e8c\u9879\u5206\u5e03\u751f\u6210\uff0c\u5305\u542b\u9884\u5148\u8bbe\u5b9a\u7684\u90e8\u5206\u5904\u7406\u6548\u5e94\u548c\u6279\u6b21\u6548\u5e94\u3002<\/p>\n

\u53e6\u5916\u52a0\u5165\u4e8c\u5341\u6761\u7ec4\u6210\u504f\u79fb\u7279\u5f81\uff0c\u5b83\u4eec\u5728\u5bf9\u7167\u4e2d\u8ba1\u6570\u8f83\u4f4e\uff0c\u5728\u5904\u7406\u4e2d\u5360\u636e\u5927\u91cf\u8ba1\u6570\u3002\u518d\u52a0\u5165\u4e00\u6761\u6240\u6709\u6837\u672c\u90fd\u4e3a\u4e00\u767e\u7684\u5bf9\u7167\u884c\uff0c\u4ee5\u53ca\u56db\u767e\u6761\u6781\u7a00\u758f\u884c\u3002\u8fd9\u79cd\u8bbe\u8ba1\u6709\u610f\u628a\u6587\u5e93\u7ec4\u6210\u6539\u53d8\u5f97\u660e\u663e\uff0c\u4fbf\u4e8e\u7406\u89e3\u603b\u91cf\u4e0e\u76f8\u5bf9\u80cc\u666f\u7684\u533a\u522b\u3002\u5b83\u6ca1\u6709\u6a21\u62df\u6240\u6709\u771f\u5b9e\u5b9e\u9a8c\u56e0\u7d20\uff0c\u4e0d\u9002\u5408\u636e\u6b64\u63a8\u7b97\u6d4b\u5e8f\u6df1\u5ea6\u6216\u68c0\u9a8c\u529f\u6548\u3002<\/p>\n

edgeR \u7684\u7248\u672c\u3001\u4f9d\u8d56\u548c\u8ba1\u6570\u6a21\u578b\u80cc\u666f\u53ef\u5728 Bioconductor 3.22 \u8f6f\u4ef6\u9875\u9762<\/a> \u67e5\u9605\u3002\u672c\u6587\u4f7f\u7528\u7684\u662f\u56fa\u5b9a\u7248\u672c\uff0c\u540e\u7eed\u7248\u672c\u7684\u9ed8\u8ba4\u53c2\u6570\u53d8\u5316\u5e94\u5355\u72ec\u6838\u5bf9\uff0c\u4e0d\u80fd\u53ea\u51ed\u51fd\u6570\u540d\u76f8\u540c\u5c31\u8ba4\u4e3a\u7ed3\u679c\u5fc5\u7136\u4e00\u81f4\u3002<\/p>\n

\u4e00\u4e2a\u72ec\u7acb\u7684\u5c0f\u8868\uff0c\u68c0\u67e5\u4f4e\u8868\u8fbe\u8fc7\u6ee4<\/h2>\n

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\n\n\n\n\n\n\n\n\n\n\n
\u8ba1\u6570\u6a21\u5f0f<\/th>\n\u4ec5\u6309\u6761\u4ef6\u5206\u7ec4<\/th>\n\u4f20\u5165\u5b8c\u6574\u8bbe\u8ba1<\/th>\n\u672c\u4f8b\u4e2d\u770b\u5230\u7684\u73b0\u8c61<\/th>\n<\/tr>\n<\/thead>\n
\u5341\u4e8c\u4e2a\u6837\u672c\u5404\u6709 12<\/td>\n\u4fdd\u7559<\/td>\n\u4fdd\u7559<\/td>\n\u666e\u904d\u6709\u8868\u8fbe<\/td>\n<\/tr>\n
\u56db\u4e2a\u6837\u672c\u5404\u6709 12<\/td>\n\u4e0d\u4fdd\u7559<\/td>\n\u4fdd\u7559<\/td>\n\u4fdd\u7559\u8981\u6c42\u4e0d\u540c<\/td>\n<\/tr>\n
\u4e09\u4e2a\u6837\u672c\u5404\u6709 12<\/td>\n\u4e0d\u4fdd\u7559<\/td>\n\u4e0d\u4fdd\u7559<\/td>\n\u652f\u6301\u6837\u672c\u4e0d\u8db3<\/td>\n<\/tr>\n
\u516d\u4e2a\u6837\u672c\u5404\u6709 12<\/td>\n\u4fdd\u7559<\/td>\n\u4fdd\u7559<\/td>\n\u8fbe\u5230\u6240\u9700\u6570\u91cf<\/td>\n<\/tr>\n
\u4e00\u4e2a\u6837\u672c\u6709 1000<\/td>\n\u4e0d\u4fdd\u7559<\/td>\n\u4e0d\u4fdd\u7559<\/td>\n\u5355\u70b9\u9ad8\u8ba1\u6570\u4e0d\u591f<\/td>\n<\/tr>\n
\u5341\u4e8c\u4e2a\u6837\u672c\u5404\u6709 1<\/td>\n\u4e0d\u4fdd\u7559<\/td>\n\u4e0d\u4fdd\u7559<\/td>\n\u6bcf\u4e2a\u6837\u672c\u90fd\u592a\u4f4e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n

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\u8fc7\u6ee4\u65f6\u4e0d\u8981\u673a\u68b0\u5730\u585e\u5165\u6240\u6709\u534f\u53d8\u91cf<\/h2>\n

\u5b8c\u6574\u6a21\u578b\u9700\u8981\u5305\u542b\u54ea\u4e9b\u56e0\u7d20\uff0c\u4e0e\u4f4e\u8868\u8fbe\u8fc7\u6ee4\u5e94\u4f9d\u636e\u54ea\u4e9b\u7814\u7a76\u5206\u7ec4\uff0c\u4e0d\u4e00\u5b9a\u5b8c\u5168\u76f8\u540c\u3002\u5b98\u65b9\u6307\u5357\u7279\u522b\u63d0\u9192\uff0c\u4f5c\u4e3a\u963b\u65ad\u6216\u6821\u6b63\u4f7f\u7528\u3001\u4f46\u5e76\u975e\u7814\u7a76\u76ee\u6807\u7684\u53d8\u91cf\uff0c\u4e0d\u5e94\u673a\u68b0\u5730\u51b3\u5b9a\u8fc7\u6ee4\u5206\u7ec4\uff0c\u5e76\u7528\u914d\u5bf9\u8bbe\u8ba1\u4e3e\u4f8b\u8bf4\u660e\u3002\u53c2\u89c1 edgeR \u7528\u6237\u6307\u5357\u7684\u8fc7\u6ee4\u90e8\u5206<\/a>\u3002<\/p>\n

\u56e0\u6b64\uff0c\u4e3b\u5b9e\u9a8c\u6839\u636e\u5904\u7406\u6761\u4ef6\u6267\u884c\u8fc7\u6ee4\uff0c\u62df\u5408\u65f6\u4ecd\u5305\u542b\u6279\u6b21\u3002\u5c0f\u8868\u4e2d\u4f20\u5165\u5b8c\u6574\u8bbe\u8ba1\u7684\u7ed3\u679c\u53ea\u662f\u7528\u4e8e\u5c55\u793a\u5dee\u5f02\uff0c\u6ca1\u6709\u88ab\u5ba3\u4f20\u6210\u66f4\u4f18\u9009\u62e9\u3002\u5206\u6790\u4eba\u5458\u5e94\u5148\u8bf4\u6e05\u695a\u5e0c\u671b\u5728\u54ea\u4e9b\u6761\u4ef6\u4e4b\u95f4\u83b7\u5f97\u53ef\u89e3\u91ca\u7684\u6bd4\u8f83\uff0c\u518d\u51b3\u5b9a\u8fc7\u6ee4\u89c4\u5219\uff0c\u800c\u4e0d\u662f\u4ee5\u4fdd\u7559\u66f4\u591a\u884c\u4f5c\u4e3a\u9009\u89c4\u5219\u7684\u7406\u7531\u3002<\/p>\n

\u4e3b\u77e9\u9635\u8fc7\u6ee4\u540e\u4fdd\u7559\u4e24\u5343\u96f6\u4e8c\u5341\u4e00\u884c\uff0c\u56db\u767e\u6761\u7a00\u758f\u884c\u88ab\u53bb\u9664\u3002\u968f\u540e\u91cd\u7b97\u4fdd\u7559\u77e9\u9635\u7684\u6587\u5e93\u5927\u5c0f\uff0c\u518d\u4f30\u8ba1\u6807\u51c6\u5316\u56e0\u5b50\u3002\u7ed3\u679c\u8bb0\u5f55\u4fdd\u5b58\u4e86\u8fc7\u6ee4\u5411\u91cf\u5bf9\u5e94\u7684\u6570\u91cf\u4e0e\u6837\u672c\u8868\uff0c\u4f7f\u522b\u4eba\u53ef\u4ee5\u8ffd\u67e5\u67d0\u4e00\u884c\u662f\u6ca1\u6709\u8fdb\u5165\u6a21\u578b\uff0c\u8fd8\u662f\u8fdb\u5165\u6a21\u578b\u540e\u6ca1\u6709\u8fbe\u5230\u663e\u8457\u95e8\u69db\u3002<\/p>\n

design <- model.matrix(~ batch + condition, samples)\r\ny <- DGEList(cts)\r\nkeep <- filterByExpr(y, group = samples$condition)\r\ny <- y[keep, , keep.lib.sizes = FALSE]\r\ny <- calcNormFactors(y, method = "TMM")\r\n<\/code><\/pre>\n
TMM \u6ca1\u6709\u6539\u5199\u8fd9\u5f20\u539f\u59cb\u8ba1\u6570\u77e9\u9635<\/h2>\n
\u672c\u6b21\u5728\u8c03\u7528\u56e0\u5b50\u4f30\u8ba1\u524d\u540e\uff0c\u7528\u4e25\u683c\u76f8\u7b49\u68c0\u67e5\u6bd4\u8f83\u8ba1\u6570\u77e9\u9635\uff0c\u7ed3\u679c\u4e3a\u771f\u3002\u6240\u6709\u539f\u59cb\u8ba1\u6570\u4fdd\u6301\u4e0d\u53d8\u3002\u53d8\u5316\u4fdd\u5b58\u5728\u6837\u672c\u4fe1\u606f\u4e2d\u7684\u6807\u51c6\u5316\u56e0\u5b50\uff0c\u968f\u540e\u4e0e\u6587\u5e93\u5927\u5c0f\u5171\u540c\u53c2\u4e0e\u6a21\u578b\u5bf9\u80cc\u666f\u89c4\u6a21\u7684\u89e3\u91ca\u3002\u628a\u8fd9\u4e00\u70b9\u9a8c\u8bc1\u51fa\u6765\uff0c\u6bd4\u53ea\u8bf4\u5df2\u7ecf\u6807\u51c6\u5316\u66f4\u5177\u4f53\u3002<\/p>\n
\u53ef\u4ee5\u5c06\u672c\u5b9e\u9a8c\u4e2d\u7684\u6709\u6548\u6587\u5e93\u5927\u5c0f\u7406\u89e3\u4e3a\u4fdd\u7559\u77e9\u9635\u7684\u6587\u5e93\u5927\u5c0f\u4e58\u4ee5\u5bf9\u5e94\u56e0\u5b50\u3002\u5341\u4e8c\u4e2a\u56e0\u5b50\u7684\u4e58\u79ef\u5728\u672c\u6b21\u8f93\u51fa\u4e2d\u4e3a\u4e00\u3002\u8fd9\u662f\u5c3a\u5ea6\u7ea6\u675f\u4e0b\u7684\u7ed3\u679c\uff0c\u4e0d\u8868\u793a\u6bcf\u4e2a\u6837\u672c\u90fd\u5fc5\u987b\u6709\u540c\u6837\u7684\u56e0\u5b50\uff0c\u66f4\u4e0d\u610f\u5473\u7740\u4f30\u8ba1\u51fa\u4e86\u6bcf\u4e2a\u6837\u672c\u7684\u7ec6\u80de\u6570\u91cf\u6216\u603b\u6838\u7cd6\u6838\u9178\u5206\u5b50\u6570\u3002<\/p>\n
\u4e3a\u4e86\u5f62\u6210\u5bf9\u7167\uff0c\u6211\u4eec\u590d\u5236\u540c\u4e00\u4efd\u8fc7\u6ee4\u540e\u7684\u5bf9\u8c61\uff0c\u4e00\u4efd\u4fdd\u7559\u9ed8\u8ba4\u7684\u5355\u4f4d\u56e0\u5b50\uff0c\u53e6\u4e00\u4efd\u52a0\u5165 TMM \u56e0\u5b50\u3002\u524d\u8005\u4ecd\u7136\u4f7f\u7528\u6587\u5e93\u603b\u91cf\uff0c\u5e76\u975e\u5b8c\u5168\u5ffd\u7565\u6d4b\u5e8f\u6df1\u5ea6\u3002\u6587\u7ae0\u628a\u5b83\u79f0\u4e3a\u53ea\u6309\u6587\u5e93\u603b\u91cf\u5904\u7406\uff0c\u907f\u514d\u8ba9\u8bfb\u8005\u8bef\u4ee5\u4e3a\u672a\u52a0\u5165 TMM \u5c31\u7b49\u4e8e\u6a21\u578b\u76f4\u63a5\u6bd4\u8f83\u672a\u7ecf\u4efb\u4f55\u5c3a\u5ea6\u89e3\u91ca\u7684\u6570\u5b57\u3002<\/p>\n
\u4e24\u79cd\u5bf9\u8c61\u90fd\u4f7f\u7528\u76f8\u540c\u7684\u8bbe\u8ba1\u548c\u51c6\u4f3c\u7136\u68c0\u9a8c\u3002\u8fd9\u6837\u6700\u7ec8\u5dee\u5f02\u6765\u81ea\u6709\u6548\u6587\u5e93\u80cc\u666f\u7684\u5904\u7406\uff0c\u800c\u4e0d\u662f\u66f4\u6362\u4e86\u6837\u672c\u3001\u8fc7\u6ee4\u4e86\u4e0d\u540c\u7684\u57fa\u56e0\uff0c\u6216\u8005\u4fee\u6539\u4e86\u6bd4\u8f83\u65b9\u5411\u3002\u63a7\u5236\u4f4f\u8fd9\u4e9b\u6761\u4ef6\u540e\uff0c\u7ed3\u679c\u5bf9\u7167\u624d\u5177\u6709\u6e05\u695a\u7684\u89e3\u91ca\u3002<\/p>\n
\u540c\u6837\u7684\u4e00\u767e\uff0c\u5728\u4e24\u79cd\u80cc\u666f\u4e0b\u5f97\u5230\u4e0d\u540c\u7ed3\u8bba<\/h2>\n
\u4eba\u5de5\u5bf9\u7167\u884c\u5728\u5341\u4e8c\u4e2a\u6837\u672c\u4e2d\u5168\u90e8\u7b49\u4e8e\u4e00\u767e\u3002\u52a0\u5165 TMM \u540e\uff0c\u5904\u7406\u76f8\u5bf9\u5bf9\u7167\u7684\u5bf9\u6570\u500d\u6570\u53d8\u5316\u7ea6\u4e3a\u8d1f\u96f6\u70b9\u96f6\u4e00\u4e00\uff0c\u539f\u59cb P \u503c\u7ea6\u96f6\u70b9\u4e5d\u4e94\u4e94\uff0c\u6821\u6b63\u503c\u7ea6\u96f6\u70b9\u4e5d\u4e5d\u56db\u3002\u8fd9\u4e2a\u7ed3\u679c\u4e0e\u6211\u4eec\u8bbe\u8ba1\u7684\u8ba1\u6570\u6a21\u5f0f\u76f8\u7b26\uff0c\u672a\u51fa\u73b0\u660e\u663e\u7684\u76f8\u5bf9\u53d8\u5316\u8bc1\u636e\u3002<\/p>\n
\u53ea\u6309\u6587\u5e93\u603b\u91cf\u5904\u7406\u65f6\uff0c\u540c\u4e00\u884c\u7684\u5bf9\u6570\u500d\u6570\u53d8\u5316\u7ea6\u4e3a\u8d1f\u4e00\u70b9\u4e8c\u4e00\u96f6\uff0c\u539f\u59cb P \u503c\u7ea6\u4e09\u70b9\u516d\u4e00\u4e58\u4ee5\u5341\u7684\u8d1f\u4e5d\u6b21\u65b9\uff0c\u6821\u6b63\u503c\u7ea6\u4e03\u70b9\u4e5d\u516b\u4e58\u4ee5\u5341\u7684\u8d1f\u4e5d\u6b21\u65b9\u3002\u539f\u59cb\u8ba1\u6570\u4e00\u9879\u672a\u6539\uff0c\u7edf\u8ba1\u7ed3\u8bba\u5374\u660e\u663e\u4e0d\u540c\u3002\u539f\u56e0\u662f\u5904\u7406\u7ec4\u4e2d\u5c11\u6570\u9ad8\u8ba1\u6570\u7279\u5f81\u62ac\u9ad8\u4e86\u6587\u5e93\u603b\u91cf\uff0c\u76f8\u540c\u7684\u4e00\u767e\u5728\u8be5\u80cc\u666f\u4e0b\u53d8\u5f97\u76f8\u5bf9\u66f4\u5c0f\u3002<\/p>\n
\n\n\n\n\n\n\n\n\n
\u6838\u5bf9\u9879\u76ee<\/th>\n\u52a0\u5165 TMM \u56e0\u5b50<\/th>\n\u5355\u4f4d\u56e0\u5b50\u5bf9\u7167<\/th>\n<\/tr>\n<\/thead>\n
\u5bf9\u7167\u884c\u539f\u59cb\u8ba1\u6570<\/td>\n\u6bcf\u4e2a\u6837\u672c 100<\/td>\n\u6bcf\u4e2a\u6837\u672c 100<\/td>\n<\/tr>\n
\u5bf9\u6570\u500d\u6570\u53d8\u5316<\/td>\n\u22120.011<\/td>\n\u22121.210<\/td>\n<\/tr>\n
\u539f\u59cb P \u503c<\/td>\n0.955<\/td>\n3.6e-9<\/td>\n<\/tr>\n
\u6821\u6b63\u503c<\/td>\n0.994<\/td>\n8.0e-9<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
\u8fd9\u91cc\u4e0d\u80fd\u8fdb\u4e00\u6b65\u58f0\u79f0 TMM \u80fd\u4fee\u590d\u6240\u6709\u7ec4\u6210\u95ee\u9898\u3002\u6211\u4eec\u6709\u610f\u6784\u9020\u4e86\u5927\u591a\u6570\u80cc\u666f\u7279\u5f81\u6ca1\u6709\u5171\u540c\u5927\u5e45\u53d8\u5316\u7684\u60c5\u5883\uff0c\u65b9\u6cd5\u5728\u8fd9\u7ec4\u6570\u636e\u91cc\u63d0\u4f9b\u4e86\u66f4\u5408\u9002\u7684\u76f8\u5bf9\u53c2\u7167\u3002\u82e5\u7814\u7a76\u95ee\u9898\u6d89\u53ca\u5927\u8303\u56f4\u6574\u4f53\u8868\u8fbe\u6539\u53d8\u3001\u6837\u672c\u7ec4\u6210\u5dee\u5f02\u6216\u7edd\u5bf9\u5206\u5b50\u91cf\u53d8\u5316\uff0c\u8fd8\u9700\u8981\u989d\u5916\u8bbe\u8ba1\u548c\u8bc1\u636e\uff0c\u4e0d\u80fd\u4ece\u8fd9\u4e00\u5f20\u8868\u76f4\u63a5\u63a8\u5230\u7edd\u5bf9\u8868\u8fbe\u7ed3\u8bba\u3002<\/p>\n
\u53e6\u4e00\u6761\u6ca1\u6709\u9884\u8bbe\u5904\u7406\u6548\u5e94\u7684\u968f\u673a\u7279\u5f81\u4e5f\u663e\u793a\u7c7b\u4f3c\u73b0\u8c61\u3002\u52a0\u5165\u56e0\u5b50\u65f6\u4f30\u8ba1\u63a5\u8fd1\u96f6\uff0c\u5355\u4f4d\u56e0\u5b50\u5bf9\u7167\u5219\u504f\u5411\u4e0b\u964d\u3002\u8fd9\u4e2a\u4f8b\u5b50\u8bf4\u660e\u95ee\u9898\u4f1a\u5f71\u54cd\u4e00\u6279\u80cc\u666f\u884c\uff0c\u4e0d\u53ea\u662f\u4e13\u95e8\u52a0\u5165\u7684\u6052\u5b9a\u884c\u3002\u4f46\u7531\u4e8e\u8fd9\u91cc\u5b58\u5728\u968f\u673a\u62bd\u6837\u8bef\u5dee\uff0c\u4e0d\u80fd\u628a\u6bcf\u6761\u672a\u8bbe\u6548\u5e94\u7684\u7279\u5f81\u90fd\u8981\u6c42\u4e3a\u7cbe\u786e\u96f6\u503c\u3002<\/p>\n
\u51c6\u4f3c\u7136\u68c0\u9a8c\u4e0e\u6548\u5e94\u95e8\u69db\u68c0\u9a8c\u56de\u7b54\u4e0d\u540c\u95ee\u9898<\/h2>\n
\u5728\u5f53\u524d\u56fa\u5b9a\u7248\u672c\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u51c6\u4f3c\u7136\u62df\u5408\uff0c\u518d\u68c0\u9a8c\u5904\u7406\u6761\u4ef6\u7684\u7cfb\u6570\u3002\u9ed8\u8ba4\u95ee\u9898\u662f\u8be5\u6548\u5e94\u662f\u5426\u504f\u79bb\u96f6\u3002\u5728\u6821\u6b63\u503c\u5c0f\u4e8e\u96f6\u70b9\u96f6\u4e94\u65f6\uff0c\u5f97\u5230\u4e00\u767e\u516d\u5341\u56db\u6761\u3002\u8fd9\u4e2a\u6570\u91cf\u5305\u542b\u7279\u610f\u8bbe\u7f6e\u7684\u7ec4\u6210\u504f\u79fb\u7279\u5f81\uff0c\u4e0d\u80fd\u53ea\u548c\u6700\u521d\u90a3\u90e8\u5206\u5904\u7406\u6548\u5e94\u884c\u6570\u6bd4\u8f83\u540e\uff0c\u5c31\u7acb\u5373\u8ba1\u7b97\u51c6\u786e\u7387\u3002<\/p>\n
\u63a5\u7740\u5bf9\u540c\u4e00\u62df\u5408\u5bf9\u8c61\u8fd0\u884c\u6548\u5e94\u95e8\u69db\u68c0\u9a8c\uff0c\u628a\u95e8\u69db\u8bbe\u4e3a\u4ee5\u4e8c\u4e3a\u5e95\u7684\u5bf9\u6570\u53d8\u5316\u4e00\uff0c\u5bf9\u5e94\u4e24\u500d\u53d8\u5316\u7684\u754c\u9650\u3002\u672c\u6b21\u6709\u4e00\u767e\u4e94\u5341\u56db\u6761\u8fbe\u5230\u6821\u6b63\u540e\u7684\u663e\u8457\u95e8\u69db\u3002\u4e24\u6b21\u6570\u91cf\u4e0d\u540c\uff0c\u662f\u56e0\u4e3a\u6240\u95ee\u7684\u95ee\u9898\u53d8\u4e86\uff0c\u5e76\u4e0d\u4ee3\u8868\u540e\u4e00\u6b21\u7a0b\u5e8f\u6f0f\u6389\u4e86\u7ed3\u679c\u3002<\/p>\n
fit <- glmQLFit(y, design, robust = TRUE)\r\nqlf <- glmQLFTest(fit, coef = "conditiontreated")\r\ntreat <- glmTreat(fit, coef = "conditiontreated", lfc = 1)\r\n<\/code><\/pre>\n
\u7b2c\u4e00\u6761\u7279\u5f81\u7684\u62a5\u544a\u6548\u5e94\u7ea6\u4e3a\u4e00\u70b9\u516b\u56db\u516d\uff0c\u5728\u666e\u901a\u68c0\u9a8c\u4e2d\u539f\u59cb P \u503c\u6781\u5c0f\uff0c\u800c\u5728\u6548\u5e94\u95e8\u69db\u68c0\u9a8c\u4e2d\u7ea6\u4e3a\u96f6\u70b9\u96f6\u96f6\u96f6\u96f6\u4e00\u4e00\u516d\u4e00\u3002\u4f30\u8ba1\u503c\u770b\u8d77\u6765\u5dee\u4e0d\u591a\uff0c\u5e76\u4e0d\u610f\u5473\u7740\u4e24\u4e2a\u68c0\u9a8c\u7684\u8bc1\u636e\u5f3a\u5ea6\u5fc5\u987b\u4e00\u6837\u3002\u4e0d\u80fd\u628a\u666e\u901a\u663e\u8457\u6027\u5217\u590d\u5236\u5230\u4e00\u4e2a\u6807\u4e3a\u8d85\u8fc7\u4e24\u500d\u53d8\u5316\u7684\u62a5\u544a\u4e2d\uff0c\u5c31\u5f53\u4f5c\u5df2\u7ecf\u8fdb\u884c\u4e86\u76f8\u5e94\u68c0\u9a8c\u3002<\/p>\n
\u7ed3\u679c\u4e2d\u8fd8\u51fa\u73b0\u4e86\u62a5\u544a\u6548\u5e94\u4e0e\u672a\u6536\u7f29\u6548\u5e94\u5e76\u5217\u7684\u5b57\u6bb5\u3002\u5b83\u4eec\u5e94\u4fdd\u7559\u539f\u540d\u548c\u6765\u6e90\uff0c\u4e0d\u5b9c\u4e3a\u7edf\u4e00\u8868\u683c\u800c\u5f3a\u884c\u8986\u76d6\u3002\u672c\u5b9e\u9a8c\u6ca1\u6709\u6267\u884c\u8de8\u65b9\u6cd5\u7684\u6548\u5e94\u6536\u7f29\u6bd4\u8f83\uff0c\u56e0\u6b64\u4e0d\u4f1a\u628a\u4e0d\u540c\u5217\u503c\u4e4b\u95f4\u7684\u5fae\u5c0f\u5dee\u5f02\u89e3\u91ca\u6210\u67d0\u79cd\u65b9\u6cd5\u4f18\u52a3\u3002\u5904\u7406\u8f6f\u4ef6\u8f93\u51fa\u65f6\uff0c\u9996\u5148\u5e94\u7ef4\u62a4\u5b57\u6bb5\u542b\u4e49\uff0c\u518d\u8003\u8651\u5c55\u793a\u683c\u5f0f\u3002<\/p>\n
\u9047\u5230\u96f6\u503c P \u503c\u548c\u5f88\u5f3a\u7684\u4fe1\u53f7\u600e\u4e48\u529e<\/h2>\n
\u4eba\u4e3a\u8bbe\u7f6e\u7684\u7ec4\u6210\u504f\u79fb\u7279\u5f81\u975e\u5e38\u6781\u7aef\uff0c\u5728\u672c\u6b21\u8f93\u51fa\u91cc\u51fa\u73b0\u6570\u503c\u4e0a\u7684\u96f6 P \u503c\u3002\u8fd9\u4e0d\u662f\u4e8b\u4ef6\u4e3a\u771f\u7684\u6982\u7387\u7b49\u4e8e\u767e\u5206\u4e4b\u767e\uff0c\u4e5f\u4e0d\u662f\u5df2\u7ecf\u83b7\u5f97\u65e0\u9650\u5f3a\u7684\u5b9e\u9a8c\u4fdd\u8bc1\u3002\u8ba1\u7b97\u673a\u8868\u793a\u6781\u5c0f\u6982\u7387\u6709\u6570\u503c\u8303\u56f4\u9650\u5236\uff0c\u89e3\u8bfb\u65f6\u5e94\u4fdd\u7559\u5b83\u4e0e\u5176\u4ed6\u8bc1\u636e\u4e4b\u95f4\u7684\u533a\u522b\u3002<\/p>\n
\u753b\u8d1f\u5bf9\u6570\u56fe\u65f6\uff0c\u76f4\u63a5\u5bf9\u96f6\u53d6\u5bf9\u6570\u4f1a\u4ea7\u751f\u65e0\u7a77\u503c\u3002\u5c55\u793a\u7a0b\u5e8f\u53ef\u4ee5\u8bbe\u7f6e\u660e\u786e\u7684\u663e\u793a\u4e0a\u9650\uff0c\u4f46\u5e94\u53e6\u5b58\u539f\u59cb\u7ed3\u679c\uff0c\u5e76\u5728\u56fe\u6ce8\u8bf4\u660e\u663e\u793a\u5904\u7406\u3002\u4e0d\u80fd\u4e3a\u4e86\u8ba9\u56fe\u770b\u8d77\u6765\u6574\u9f50\uff0c\u76f4\u63a5\u628a\u539f\u8868\u4e2d\u7684\u96f6\u6539\u6210\u4e00\u4e2a\u968f\u610f\u7684\u5c0f\u6570\uff0c\u518d\u8ba9\u540e\u7eed\u5206\u6790\u8bef\u4ee5\u4e3a\u8fd9\u4e2a\u6570\u5b57\u7531\u6a21\u578b\u8ba1\u7b97\u5f97\u51fa\u3002<\/p>\n
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python3 run.py run159\r\n<\/code><\/pre>\n
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