{"id":67121,"date":"2026-11-14T19:48:22","date_gmt":"2026-11-14T11:48:22","guid":{"rendered":"https:\/\/www.biocloudservice.com\/wordpress\/?p=67121"},"modified":"2026-11-15T00:07:02","modified_gmt":"2026-11-14T16:07:02","slug":"wgcna-blockwise-modules-gene-overlap","status":"publish","type":"post","link":"https:\/\/www.biocloudservice.com\/wordpress\/wgcna-blockwise-modules-gene-overlap\/","title":{"rendered":"WGCNA \u5206\u5757\u540e\uff0c\u539f\u6765\u7684\u5171\u8868\u8fbe\u6a21\u5757\u8fd8\u5728\u5417\uff1f\u7528\u57fa\u56e0\u540d\u5355\u6838\u5bf9\u4e24\u6b21\u5efa\u7f51"},"content":{"rendered":"
\n

\u7b2c\u4e00\u6b21\u8fd0\u884c WGCNA \u5f97\u5230\u4e00\u4e2a\u548c\u8868\u578b\u6709\u5173\u7684\u6a21\u5757\u3002\u540e\u6765\u66f4\u6539\u4e86 maxBlockSize<\/code>\uff0c\u7b2c\u4e8c\u6b21\u4ecd\u7136\u770b\u5230\u4e00\u4e2a\u5927\u5c0f\u76f8\u8fd1\u7684\u6a21\u5757\u3002\u80fd\u6cbf\u7528\u4e0a\u6b21\u7684\u89e3\u91ca\u5417\uff1f\u5148\u95ee\u4e00\u4e2a\u66f4\u5bb9\u6613\u56de\u7b54\u7684\u95ee\u9898\u3002\u539f\u6765\u5c5e\u4e8e\u8fd9\u4e2a\u6a21\u5757\u7684\u57fa\u56e0\uff0c\u8fd9\u6b21\u5206\u522b\u53bb\u4e86\u54ea\u91cc\uff1f\u53ea\u770b\u989c\u8272\u3001\u7f16\u53f7\u6216\u6a21\u5757\u603b\u6570\uff0c\u90fd\u53ef\u80fd\u9519\u8fc7\u5c11\u91cf\u5173\u952e\u57fa\u56e0\u7684\u79fb\u52a8\uff0c\u4e5f\u53ef\u80fd\u628a\u6a21\u5757\u7684\u91cd\u65b0\u7f16\u53f7\u8bef\u8bfb\u6210\u7ed3\u679c\u53d8\u5316\u3002<\/p>\n

\u4e0b\u9762\u505a\u4e00\u4e2a\u53ef\u4ee5\u5b8c\u6574\u590d\u73b0\u7684\u5bf9\u7167\u3002\u6a21\u62df 48 \u4e2a\u6837\u672c\u3001220 \u4e2a\u57fa\u56e0\uff0c\u56fa\u5b9a\u8f93\u5165\u3001\u8f6f\u9608\u503c\u548c\u805a\u7c7b\u53c2\u6570\uff0c\u53ea\u6539\u53d8\u5206\u5757\u4e0a\u9650\u3002\u7136\u540e\u7528\u4ea4\u53c9\u8868\u548c\u6210\u5458\u91cd\u53e0\u5ea6\u627e\u5230\u6a21\u5757\u7684\u5bf9\u5e94\u5173\u7cfb\u3002\u6a21\u62df\u6570\u636e\u8ba9\u6211\u4eec\u77e5\u9053\u54ea\u4e9b\u57fa\u56e0\u5171\u4eab\u8868\u8fbe\u6a21\u5f0f\uff0c\u9002\u5408\u7ec3\u4e60\u8bfb\u8868\u3002\u5f97\u5230\u7684\u6a21\u5757\u548c\u6570\u503c\u53ea\u7528\u4e8e\u8bf4\u660e\u65b9\u6cd5\u3002<\/p>\n

\u5148\u56fa\u5b9a\u8f93\u5165\uff0c\u518d\u8ba9\u4e24\u6b21\u5efa\u7f51\u53ea\u5dee\u4e00\u4e2a\u53c2\u6570<\/h2>\n

WGCNA \u7528\u6837\u672c\u4e4b\u95f4\u7684\u8868\u8fbe\u53d8\u5316\u8ba1\u7b97\u57fa\u56e0\u76f8\u5173\u6027\uff0c\u4ea4\u7ed9 blockwiseModules()<\/code> \u7684\u77e9\u9635\u5e94\u5f53\u4e00\u884c\u4e00\u4e2a\u6837\u672c\u3001\u4e00\u5217\u4e00\u4e2a\u57fa\u56e0\u3002\u771f\u5b9e RNA-seq \u9879\u76ee\u8981\u5148\u5f52\u4e00\u5316\u5e76\u5904\u7406\u660e\u663e\u7684\u4f4e\u8868\u8fbe\u6216\u8fd1\u4e4e\u65e0\u53d8\u5316\u7684\u57fa\u56e0\u3002\u4e0d\u8981\u5148\u6309\u75c5\u4f8b\u4e0e\u5bf9\u7167\u7684\u5dee\u5f02\u68c0\u9a8c\u6311\u4e00\u6279\u663e\u8457\u57fa\u56e0\u518d\u5efa\u7f51\u7edc\u3002\u8fd9\u6837\u4f1a\u63d0\u524d\u4fdd\u7559\u968f\u5206\u7ec4\u4e00\u8d77\u53d8\u5316\u7684\u57fa\u56e0\uff0c\u4f7f\u540e\u9762\u7684\u6a21\u5757\u4e0e\u5206\u7ec4\u76f8\u5173\u6027\u66f4\u96be\u89e3\u91ca\u3002WGCNA \u4f5c\u8005\u5173\u4e8e\u57fa\u56e0\u7b5b\u9009\u7684\u8bf4\u660e<\/a><\/p>\n

\u4e0b\u9762\u751f\u6210\u4e09\u7ec4\u5e26\u5171\u540c\u4fe1\u53f7\u7684\u53d8\u91cf\uff0c\u53e6\u52a0 45 \u4e2a\u72ec\u7acb\u566a\u58f0\u53d8\u91cf\u3002\u7b2c\u4e8c\u7ec4\u4e0e\u7b2c\u4e09\u7ec4\u7684\u6f5c\u5728\u4fe1\u53f7\u6709\u4e00\u5b9a\u76f8\u5173\u6027\uff0c\u8fd9\u6837\u53ef\u4ee5\u89c2\u5bdf\u8fb9\u754c\u4e0a\u7684\u57fa\u56e0\u3002\u628a\u968f\u673a\u79cd\u5b50\u3001\u6837\u672c\u540d\u548c\u57fa\u56e0\u540d\u56fa\u5b9a\u4e0b\u6765\uff0c\u540e\u9762\u5373\u4f7f\u4e24\u6b21\u8f93\u51fa\u7684\u6a21\u5757\u987a\u5e8f\u4e0d\u540c\uff0c\u4e5f\u80fd\u6309\u540d\u5b57\u5bf9\u9f50\u3002<\/p>\n

library(WGCNA)\nset.seed(17)\nn <- 48\nz <- matrix(rnorm(n * 3), nrow = n)\nz[, 3] <- 0.55 * z[, 2] + sqrt(1 - 0.55^2) * z[, 3]\nsignal <- function(x, k, noise) {\n  matrix(rep(x, k), nrow = n) + matrix(rnorm(n * k, sd = noise), nrow = n)\n}\ndatExpr <- cbind(signal(z[, 1], 70, 0.7), signal(z[, 2], 60, 0.8),\n                 signal(z[, 3], 45, 0.8), matrix(rnorm(n * 45), nrow = n))\ncolnames(datExpr) <- sprintf(\"g%03d\", seq_len(ncol(datExpr)))\nrownames(datExpr) <- sprintf(\"s%02d\", seq_len(nrow(datExpr)))\nstopifnot(goodSamplesGenes(datExpr, verbose = 0)$allOK)\n<\/code><\/pre>\n
\u81ea\u5df1\u6362\u8868\u8fbe\u77e9\u9635\u65f6\uff0c\u7528\u4e24\u4e2a\u68c0\u67e5\u4ee3\u66ff\u51ed\u5370\u8c61\u8f6c\u7f6e\u3002\u5148\u5c06\u884c\u540d\u4e0e\u6837\u672c\u8868\u4e2d\u5df2\u77e5\u7684\u6837\u672c\u7f16\u53f7\u5339\u914d\uff0c\u518d\u9009\u4e00\u4e2a\u719f\u6089\u7684\u57fa\u56e0\uff0c\u770b\u5b83\u662f\u5426\u6070\u597d\u5360\u4e00\u5217\u3002\u4e24\u6b21\u6bd4\u8f83\u8981\u4fdd\u7559\u76f8\u540c\u7684\u6837\u672c\u3001\u57fa\u56e0\u548c\u987a\u5e8f\u3002\u5982\u679c\u4e00\u8f6e\u5220\u4e86\u5f02\u5e38\u6837\u672c\uff0c\u53e6\u4e00\u8f6e\u53c8\u6309\u4e0d\u540c\u95e8\u69db\u8fc7\u6ee4\u8868\u8fbe\u91cf\uff0c\u6700\u540e\u5c31\u65e0\u6cd5\u533a\u5206\u53d8\u5316\u6765\u81ea\u5206\u5757\uff0c\u8fd8\u662f\u6765\u81ea\u8f93\u5165\u3002\u542b\u7f3a\u5931\u503c\u6216\u96f6\u65b9\u5dee\u57fa\u56e0\u65f6\uff0c\u5148\u770b goodSamplesGenes()<\/code> \u8fd4\u56de\u7684\u6807\u8bb0\uff0c\u8bb0\u5f55\u5b9e\u9645\u5220\u9664\u7684\u884c\u5217\uff0c\u518d\u4fdd\u5b58\u5171\u540c\u8f93\u5165\u3002<\/p>\n
\u5efa\u4e00\u6b21\u5355\u5757\u7f51\u7edc\uff0c\u518d\u5efa\u4e00\u6b21\u591a\u5757\u7f51\u7edc<\/h2>\n
fit_net <- function(block_size) {\n  blockwiseModules(datExpr, power = 6, networkType = \"signed\", TOMType = \"signed\",\n                   maxBlockSize = block_size, minModuleSize = 15,\n                   mergeCutHeight = 0.15, numericLabels = TRUE,\n                   randomSeed = 17, verbose = 0)\n}\na <- fit_net(250)\nb <- fit_net(80)\nlengths(a$blockGenes)\nlengths(b$blockGenes)\n<\/code><\/pre>\n
\u672c\u6b21\u8fd0\u884c\u4e2d\uff0c\u7b2c\u4e00\u6b21\u7684 220 \u4e2a\u57fa\u56e0\u90fd\u5728\u4e00\u5757\uff0c\u7b2c\u4e8c\u6b21\u5f62\u6210\u4e86 78\u300173\u300169 \u4e2a\u57fa\u56e0\u7684\u4e09\u4e2a\u5757\u3002\u7ed9\u5b9a\u4e0a\u9650\u548c\u5b9e\u9645\u5757\u5927\u5c0f\u662f\u4e24\u4e2a\u6982\u5ff5\uff0cblockGenes<\/code> \u80fd\u76f4\u63a5\u544a\u8bc9\u4f60\u8fd9\u6b21\u5230\u5e95\u600e\u6837\u5207\u4e86\u5757\u3002\u5757\u5185\u5148\u4f9d\u636e\u90bb\u63a5\u4e0e\u62d3\u6251\u91cd\u53e0\u8bc6\u522b\u6a21\u5757\uff0c\u968f\u540e\u53ef\u4ee5\u4f9d\u636e\u6a21\u5757\u7279\u5f81\u57fa\u56e0\u4e4b\u95f4\u7684\u76f8\u4f3c\u6027\u5408\u5e76\u6a21\u5757\u3002\u4e24\u4e2a\u57fa\u56e0\u5206\u5728\u4e0d\u540c\u521d\u59cb\u5757\u65f6\uff0c\u5b83\u4eec\u4e0d\u4f1a\u7ecf\u5386\u540c\u6837\u7684\u5757\u5185\u805a\u7c7b\u8fc7\u7a0b\uff0c\u56e0\u6b64\u6709\u5fc5\u8981\u68c0\u67e5\u5206\u5757\u524d\u540e\u7684\u5bf9\u5e94\u5173\u7cfb\u3002blockwiseModules \u51fd\u6570\u624b\u518c<\/a><\/p>\n
\u8fd9\u91cc\u56fa\u5b9a\u8f6f\u9608\u503c 6 \u662f\u4e3a\u4e86\u8ba9\u5bf9\u7167\u53ea\u6539\u53d8\u5206\u5757\u3002\u5b9e\u9645\u7814\u7a76\u5e94\u7ed3\u5408\u6570\u636e\u8d28\u91cf\u3001\u7f51\u7edc\u7c7b\u578b\u3001\u8f6f\u9608\u503c\u8bca\u65ad\u53ca\u5e73\u5747\u8fde\u63a5\u5ea6\u9009\u5b9a\u53c2\u6570\u3002\u82e5\u8f6f\u9608\u503c\u3001\u7f51\u7edc\u7c7b\u578b\u548c\u5206\u5757\u90fd\u60f3\u8bc4\u4f30\uff0c\u5148\u7ed9\u6bcf\u9879\u53d8\u5316\u5404\u4fdd\u7559\u4e00\u7ec4\u53ef\u6bd4\u7ed3\u679c\uff0c\u5426\u5219\u4e00\u6b21\u91cd\u8dd1\u6539\u53d8\u4e09\u4e2a\u6761\u4ef6\uff0c\u5f88\u96be\u89e3\u91ca\u7a76\u7adf\u662f\u54ea\u4e00\u4e2a\u5f71\u54cd\u4e86\u76ee\u6807\u6a21\u5757\u3002<\/p>\n
\u7528\u4e00\u5f20\u4ea4\u53c9\u8868\u627e\u51fa\u5206\u8d70\u7684\u57fa\u56e0<\/h2>\n
A <- setNames(a$colors, colnames(datExpr))\nB <- setNames(b$colors, colnames(datExpr))\nstopifnot(!anyDuplicated(names(A)), setequal(names(A), names(B)))\ntab <- table(A, B[names(A)])\nprint(tab)\n<\/code><\/pre>\n
\n\n\n\n\n\n\n\n\n
\u539f\u7f51\u7edc\u6a21\u5757 A \uff0f \u5206\u5757\u7f51\u7edc\u6a21\u5757 B<\/th>\nB0 \u672a\u5206\u914d<\/th>\nB1<\/th>\nB2<\/th>\nB3<\/th>\n<\/tr>\n<\/thead>\n
A0 \u672a\u5206\u914d<\/td>\n42<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n<\/tr>\n
A1<\/td>\n0<\/td>\n70<\/td>\n0<\/td>\n0<\/td>\n<\/tr>\n
A2<\/td>\n0<\/td>\n0<\/td>\n60<\/td>\n1<\/td>\n<\/tr>\n
A3<\/td>\n0<\/td>\n0<\/td>\n0<\/td>\n47<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n
\"\u540c\u4e00\u6a21\u62df\u8868\u8fbe\u77e9\u9635\u4e24\u6b21\u5efa\u7f51\u7684\u6a21\u5757\u57fa\u56e0\u91cd\u53e0\u8ba1\u6570\uff0c\u4e00\u679a\u57fa\u56e0\u4ece
\u6a21\u62df\u6570\u636e\u7684\u6a21\u5757\u4ea4\u53c9\u8868\u3002\u6bcf\u4e2a\u6570\u5b57\u8868\u793a\u540c\u65f6\u5c5e\u4e8e\u8be5\u884c\u548c\u8be5\u5217\u6a21\u5757\u7684\u57fa\u56e0\u6570\u3002\u6a59\u6846\u6807\u51fa\u66f4\u6362\u5f52\u5c5e\u7684\u4e00\u679a\u57fa\u56e0\u3002<\/figcaption><\/figure>\n
\u6309\u884c\u8bfb\u8fd9\u5f20\u8868\uff0cA2 \u539f\u6709 61 \u4e2a\u57fa\u56e0\uff0c\u5176\u4e2d 60 \u4e2a\u8fdb\u5165 B2\uff0c\u53e6\u4e00\u4e2a\u8fdb\u5165 B3\u3002\u6309\u5217\u8bfb\uff0cB3 \u6709 48 \u4e2a\u57fa\u56e0\uff0c\u5176\u4e2d 47 \u4e2a\u6765\u81ea A3\uff0c\u4e00\u4e2a\u6765\u81ea A2\u3002\u8fd9\u4e24\u79cd\u8bfb\u6cd5\u5206\u522b\u56de\u7b54\u201c\u539f\u540d\u5355\u4fdd\u7559\u591a\u5c11\u201d\u548c\u201c\u65b0\u540d\u5355\u591a\u4e86\u8c01\u201d\u3002\u6a21\u5757 0 \u8868\u793a\u672a\u5206\u914d\uff0c\u8868\u91cc\u5e94\u5f53\u4fdd\u7559\u8fd9\u4e00\u884c\u548c\u8fd9\u4e00\u5217\uff0c\u8fd9\u6837\u624d\u80fd\u770b\u51fa\u54ea\u4e9b\u57fa\u56e0\u9000\u51fa\u6216\u8fdb\u5165\u4e86\u6b63\u5f0f\u6a21\u5757\u3002\u53ea\u6709\u5728\u5bfb\u627e\u6b63\u5f0f\u6a21\u5757\u7684\u6700\u4f73\u5339\u914d\u65f6\u624d\u628a 0 \u6392\u9664\u3002<\/p>\n
\u989c\u8272\u548c\u7f16\u53f7\u7531\u6bcf\u6b21\u8fd0\u884c\u5206\u914d\uff0c\u78b0\u5de7\u76f8\u540c\u7684\u7f16\u53f7\u4e0d\u80fd\u4f5c\u4e3a\u4ee3\u7801\u4e2d\u7684\u914d\u5bf9\u4f9d\u636e\u3002\u53ef\u4ee5\u5bf9\u4e00\u4e2a\u539f\u6a21\u5757\u8bd5\u904d\u65b0\u7f51\u7edc\u4e2d\u7684\u6240\u6709\u6b63\u5f0f\u6a21\u5757\uff0c\u518d\u6309\u4ea4\u96c6\u9664\u4ee5\u5e76\u96c6\u8ba1\u7b97 Jaccard \u7cfb\u6570\u3002\u5b83\u540c\u65f6\u8003\u8651\u4e86\u539f\u6a21\u5757\u4e22\u6389\u7684\u57fa\u56e0\u548c\u5019\u9009\u6a21\u5757\u591a\u51fa\u6765\u7684\u57fa\u56e0\u3002\u5982\u679c\u4e00\u4e2a\u5f88\u5c0f\u7684\u6a21\u5757\u88ab\u5b8c\u5168\u5e76\u5165\u4e00\u4e2a\u5927\u6a21\u5757\uff0c\u53ea\u770b\u539f\u6210\u5458\u4fdd\u7559\u7387\u4f1a\u5f97\u5230\u767e\u5206\u4e4b\u767e\uff0c\u6b64\u65f6 Jaccard \u548c\u5217\u65b9\u5411\u7684\u4ea4\u53c9\u8868\u66f4\u80fd\u770b\u51fa\u5408\u5e76\u3002<\/p>\n
x <- names(A)[A == 2]\ntargets <- sort(unique(B[B != 0]))\nj <- vapply(targets, function(k) {\n  y <- names(B)[B == k]\n  length(intersect(x, y)) \/ length(union(x, y))\n}, numeric(1))\nbest <- targets[which.max(j)]\ny <- names(B)[B == best]\nc(best_match = best, shared = length(intersect(x, y)), J = max(j))\nsetdiff(x, y)  # \u539f\u6a21\u5757\u4e2d\u8fd9\u6b21\u6ca1\u6709\u8fdb\u5165\u6700\u4f73\u5339\u914d\u6a21\u5757\u7684\u57fa\u56e0\nsetdiff(y, x)  # \u65b0\u6a21\u5757\u4e2d\u591a\u51fa\u6765\u7684\u57fa\u56e0\n<\/code><\/pre>\n
\u672c\u4f8b A2 \u4e0e B2 \u7684\u7cfb\u6570\u662f 60\/61\uff0c\u7ea6 0.984\u3002A3 \u4e0e B3 \u5219\u662f 47\/48\uff0c\u7ea6 0.979\u3002\u8fd0\u884c\u7b2c\u4e00\u6761 setdiff()<\/code> \u4f1a\u5f97\u5230 g176<\/code>\u3002\u56de\u770b\u6a21\u62df\u8bbe\u8ba1\uff0c\u524d\u4e09\u7ec4\u5171\u540c\u4fe1\u53f7\u53ea\u8986\u76d6\u524d 175 \u5217\uff0cg176<\/code> \u6070\u597d\u662f\u7b2c\u4e00\u5217\u72ec\u7acb\u566a\u58f0\u3002\u6709\u9650\u6837\u672c\u4e2d\uff0c\u4e00\u4e2a\u566a\u58f0\u53d8\u91cf\u4e5f\u53ef\u80fd\u5076\u7136\u8ddf\u67d0\u4e2a\u6a21\u5757\u5171\u4eab\u8868\u8fbe\u8d8b\u52bf\u3002\u8fd9\u4e2a\u5df2\u77e5\u7b54\u6848\u89e3\u91ca\u4e86\u4e3a\u4ec0\u4e48\u5373\u4f7f\u6a21\u5757\u6574\u4f53\u5f88\u7a33\u5b9a\uff0c\u5177\u4f53\u5019\u9009\u57fa\u56e0\u4e5f\u503c\u5f97\u5355\u72ec\u6838\u67e5\u3002<\/p>\n
\u771f\u5b9e\u6570\u636e\u91cc\u6ca1\u6709\u8fd9\u5f20\u7b54\u6848\u8868\u3002\u5982\u679c\u51c6\u5907\u9a8c\u8bc1\u7684\u6070\u597d\u662f\u79fb\u52a8\u7684\u57fa\u56e0\uff0c\u53ef\u4ee5\u753b\u51fa\u5b83\u548c\u4e24\u4e2a\u5019\u9009\u6a21\u5757\u7279\u5f81\u57fa\u56e0\u5728\u5404\u6837\u672c\u4e2d\u7684\u8868\u8fbe\u5173\u7cfb\uff0c\u518d\u6309\u6279\u6b21\u7740\u8272\uff0c\u67e5\u770b\u8d8b\u52bf\u662f\u5426\u7531\u4e00\u4e2a\u5f02\u5e38\u6837\u672c\u62c9\u52a8\u3002\u82e5\u4ea4\u53c9\u8868\u67d0\u4e00\u884c\u7684\u6210\u5458\u5927\u91cf\u5206\u6563\u5230\u4e24\u5217\uff0c\u5c31\u628a\u62c6\u5206\u7684\u4e24\u4e2a\u5b50\u6a21\u5757\u90fd\u5217\u51fa\u6765\uff0c\u4fdd\u7559\u4e00\u5bf9\u591a\u7684\u5bf9\u5e94\u3002\u672c\u4f8b\u5728 R 4.5.2\u3001WGCNA 1.73 \u4e0b\u5b9e\u7b97\uff0c\u53e6\u7528 R 4.3.3\u3001WGCNA 1.71 \u590d\u7b97\uff0c\u5f97\u5230\u4e86\u540c\u4e00\u5f20\u4ea4\u53c9\u8868\u3002<\/p>\n
\u6700\u540e\u628a\u8bc1\u636e\u5206\u5c42\u8bb0\u5f55\u3002\u8fd9\u4e2a\u5bf9\u7167\u652f\u6301\u201c\u5728\u540c\u4e00\u77e9\u9635\u4e0a\uff0c\u6240\u9009\u57fa\u56e0\u6a21\u5757\u5bf9\u8fd9\u4e00\u6b21\u5206\u5757\u8c03\u6574\u8f83\u7a33\u5b9a\u201d\u3002\u5b83\u4ecd\u7136\u6ca1\u6709\u68c0\u9a8c\u5728\u53e6\u4e00\u6279\u53d7\u8bd5\u8005\u4e2d\u80fd\u5426\u590d\u73b0\u3002\u6d89\u53ca\u72ec\u7acb\u961f\u5217\u65f6\uff0c\u5e94\u91cd\u65b0\u6838\u5bf9\u8868\u8fbe\u5c3a\u5ea6\u3001\u5171\u540c\u57fa\u56e0\u548c\u6837\u672c\u7ed3\u6784\uff0c\u518d\u505a\u6a21\u5757\u4fdd\u7559\u6027\u5206\u6790\u3002\u5c06\u8fd9\u4e24\u9879\u7ed3\u679c\u5206\u522b\u5199\u5165\u5206\u6790\u8bb0\u5f55\uff0c\u8bfb\u8005\u5c31\u80fd\u5206\u6e05\u53c2\u6570\u654f\u611f\u6027\u548c\u8de8\u961f\u5217\u91cd\u590d\u6027\u3002<\/p>\n
\u54ea\u4e00\u79cd\u91cd\u53e0\u80fd\u652f\u6301\u4e0b\u4e00\u6b65\u5b9e\u9a8c\uff1f<\/h2>\n
\u5047\u8bbe\u7814\u7a76\u8005\u8981\u4ece\u4e00\u4e2a\u65e7\u6a21\u5757\u6311\u5019\u9009\u57fa\u56e0\uff0c\u800c\u65b0\u5206\u6790\u628a\u8fd9\u4e2a\u6a21\u5757\u7684\u4e8c\u5341\u4e2a\u6210\u5458\u5168\u90e8\u6536\u5165\u4e00\u4e2a\u6709\u4e24\u767e\u4e2a\u57fa\u56e0\u7684\u5927\u6a21\u5757\u3002\u4ece\u65e7\u540d\u5355\u770b\uff0c\u4fdd\u7559\u7387\u662f\u767e\u5206\u4e4b\u767e\uff0c\u4ece\u65b0\u540d\u5355\u770b\uff0c\u65e7\u6210\u5458\u53ea\u5360\u5341\u5206\u4e4b\u4e00\uff0c\u4ea4\u96c6\u9664\u4ee5\u5e76\u96c6\u4e5f\u662f\u5341\u5206\u4e4b\u4e00\u3002\u8fd9\u79cd\u60c5\u5f62\u5f88\u9002\u5408\u5728\u62a5\u544a\u4e2d\u52a0\u4e00\u5217\u201c\u65b0\u6a21\u5757\u4e2d\u539f\u6210\u5458\u6bd4\u4f8b\u201d\u3002\u82e5\u7814\u7a76\u7684\u95ee\u9898\u662f\u539f\u6765\u7684\u5019\u9009\u80fd\u4e0d\u80fd\u627e\u56de\u6765\uff0c\u7b2c\u4e00\u5217\u6709\u610f\u4e49\u3002\u82e5\u60f3\u6cbf\u7528\u65e7\u6a21\u5757\u7684\u529f\u80fd\u547d\u540d\u6765\u89e3\u91ca\u65b0\u6a21\u5757\u4e2d\u7684\u5168\u90e8\u4e24\u767e\u4e2a\u57fa\u56e0\uff0c\u53e6\u5916\u4e00\u767e\u516b\u5341\u4e2a\u6210\u5458\u5c31\u5fc5\u987b\u89e3\u91ca\u3002\u5355\u4e2a\u9ad8\u767e\u5206\u6570\u65e0\u6cd5\u540c\u65f6\u56de\u7b54\u8fd9\u4e24\u4e2a\u95ee\u9898\u3002<\/p>\n
\u6362\u4e00\u79cd\u60c5\u5f62\uff0c\u65e7\u6a21\u5757\u7684\u56db\u5341\u4e2a\u6210\u5458\u7b49\u5206\u7ed9\u4e24\u4e2a\u65b0\u6a21\u5757\uff0c\u5404\u81ea\u90fd\u6ca1\u6709\u6df7\u5165\u5176\u4ed6\u57fa\u56e0\u3002\u6b64\u65f6\u4e3a\u65e7\u6a21\u5757\u53ea\u4fdd\u7559\u4e00\u4e2a\u201c\u6700\u4f73\u5339\u914d\u201d\u4f1a\u9057\u6f0f\u4e00\u534a\u6210\u5458\uff0c\u5373\u4f7f\u4e24\u4e2a\u5019\u9009\u7684\u7cfb\u6570\u5e76\u5217\u3002\u53ef\u5148\u6309\u7167\u65e7\u6a21\u5757\u6210\u5458\u843d\u5165\u5404\u5217\u7684\u6bd4\u4f8b\u6392\u5e8f\uff0c\u5e76\u5b8c\u6574\u4fdd\u7559\u7b2c\u4e00\u540d\u4e0e\u7b2c\u4e8c\u540d\uff0c\u518d\u67e5\u770b\u62c6\u6210\u4e24\u7fa4\u7684\u6210\u5458\u5728\u540c\u4e00\u6279\u6837\u672c\u4e0a\u7684\u8868\u8fbe\u8d8b\u52bf\u3002\u82e5\u4e00\u4e2a\u5c0f\u7fa4\u4e3b\u8981\u4e0e\u67d0\u4e2a\u7ec4\u7ec7\u6210\u5206\u6216\u6280\u672f\u6279\u6b21\u540c\u6b65\uff0c\u5c31\u5e26\u7740\u5206\u7ec4\u53d8\u91cf\u53bb\u590d\u6838\uff1b\u82e5\u4e24\u4e2a\u5b50\u7fa4\u6709\u7a33\u5b9a\u4f46\u5404\u81ea\u4e0d\u540c\u7684\u8d8b\u52bf\uff0c\u53ef\u4ee5\u5206\u522b\u89e3\u91ca\u3002\u57fa\u56e0\u672c\u4f53\u5bcc\u96c6\u6240\u7528\u80cc\u666f\u4e5f\u8981\u4e0e\u8fd9\u6b21\u5b9e\u9645\u8fdb\u5165\u5efa\u7f51\u7684\u57fa\u56e0\u96c6\u5408\u4e00\u81f4\u3002<\/p>\n
overlap <- function(old, new) {\n  common <- length(intersect(old, new))\n  c(old_kept = common \/ length(old), new_from_old = common \/ length(new),\n    Jaccard = common \/ length(union(old, new)))\n}\noverlap(1:20, 1:200)\nrbind(first = overlap(1:40, 1:20), second = overlap(1:40, 21:40))\n<\/code><\/pre>\n
\u5bf9\u4e00\u4e2a\u6309\u8ba1\u5212\u8981\u9a8c\u8bc1\u7684\u57fa\u56e0\uff0c\u518d\u591a\u67e5\u4e00\u5c42<\/h2>\n
\u6709\u4e86\u53d8\u5316\u540d\u5355\u540e\uff0c\u53ef\u4ee5\u68c0\u67e5\u4e00\u4e2a\u57fa\u56e0\u5728\u6a21\u5757\u4e2d\u7684\u5f52\u5c5e\u5f3a\u5ea6\u3002\u6a21\u5757\u7279\u5f81\u57fa\u56e0\u6982\u62ec\u4e00\u7ec4\u6210\u5458\u5728\u5404\u6837\u672c\u4e0a\u7684\u5171\u540c\u53d8\u5316\u3002\u628a\u5019\u9009\u57fa\u56e0\u8868\u8fbe\u4e0e\u4e24\u4e2a\u5019\u9009\u6a21\u5757\u7684\u7279\u5f81\u57fa\u56e0\u5206\u522b\u753b\u6210\u6563\u70b9\uff0c\u5e76\u59cb\u7ec8\u7528\u540c\u4e00\u5957\u6837\u672c\u7f16\u53f7\u548c\u989c\u8272\u3002\u5982\u679c\u7edd\u5927\u591a\u6570\u6837\u672c\u4e4b\u95f4\u51e0\u4e4e\u6ca1\u6709\u8d8b\u52bf\uff0c\u53ea\u6709\u4e00\u4e2a\u9ad8\u8868\u8fbe\u6837\u672c\u5728\u56fe\u7684\u53f3\u4e0a\u89d2\uff0c\u76f8\u5173\u7cfb\u6570\u4f1a\u5bf9\u8fd9\u4e2a\u70b9\u5f88\u654f\u611f\u3002\u5148\u67e5\u8be5\u6837\u672c\u7684\u8d28\u91cf\u6307\u6807\u3001\u6765\u6e90\u548c\u6d4b\u5e8f\u6279\u6b21\uff0c\u518d\u8ba1\u7b97\u4fdd\u7559\u548c\u53bb\u6389\u5b83\u65f6\u7684\u6570\u503c\uff0c\u8bb0\u5f55\u5dee\u5f02\u3002\u8fd9\u6837\u80fd\u6307\u51fa\u76f8\u5173\u6027\u4f9d\u8d56\u54ea\u4efd\u89c2\u6d4b\uff0c\u4e5f\u907f\u514d\u770b\u5230\u4e00\u4e2a\u788d\u773c\u7684\u70b9\u5c31\u628a\u5b83\u4ece\u4e3b\u5206\u6790\u4e2d\u5220\u9664\u3002<\/p>\n
\u8fd8\u53ef\u4ee5\u95ee\u4e00\u4e2a\u66f4\u4e25\u683c\u7684\u95ee\u9898\u3002\u7279\u5f81\u57fa\u56e0\u662f\u7531\u6a21\u5757\u6210\u5458\u5171\u540c\u4f30\u8ba1\u51fa\u6765\u7684\uff0c\u62ff\u6210\u5458\u4e0e\u5305\u542b\u81ea\u8eab\u7684\u6a21\u5757\u603b\u8d8b\u52bf\u8ba1\u7b97\u76f8\u5173\u4f1a\u6709\u4e00\u5b9a\u81ea\u6211\u8d21\u732e\uff0c\u5c0f\u6a21\u5757\u5c24\u4e3a\u503c\u5f97\u7559\u610f\u3002\u9488\u5bf9\u51c6\u5907\u9a8c\u8bc1\u7684\u5019\u9009\uff0c\u53ef\u4ee5\u5728\u540c\u4e00\u4efd\u6837\u672c\u4e0a\u4e34\u65f6\u53bb\u6389\u5b83\uff0c\u7528\u4f59\u4e0b\u6210\u5458\u91cd\u65b0\u6c42\u7b2c\u4e00\u4e3b\u6210\u5206\uff0c\u518d\u6bd4\u8f83\u5019\u9009\u4e0e\u8fd9\u4e2a\u7559\u4e00\u8d8b\u52bf\u7684\u5173\u7cfb\u3002\u4e3b\u6210\u5206\u7684\u6b63\u8d1f\u53f7\u53ef\u4ee5\u6574\u4f53\u7ffb\u8f6c\uff0c\u8de8\u4e24\u6b21\u8ba1\u7b97\u89e3\u91ca\u65b9\u5411\u524d\u5148\u7528\u5171\u540c\u6210\u5458\u7684\u5e73\u5747\u8868\u8fbe\u6216\u540c\u4e00\u53c2\u8003\u7279\u5f81\u5bf9\u9f50\u65b9\u5411\u3002\u82e5\u5019\u9009\u53ea\u5728\u5305\u542b\u81ea\u5df1\u7684\u5c0f\u6a21\u5757\u4e2d\u663e\u5f97\u5f88\u5f3a\uff0c\u62a5\u544a\u4e2d\u5e94\u628a\u8fd9\u4e2a\u4f9d\u8d56\u5173\u7cfb\u8bb2\u6e05\u695a\u3002<\/p>\n
\u5bf9\u4e8e\u8fd9\u4efd\u6a21\u62df\u6570\u636e\uff0c\u6211\u4eec\u77e5\u9053\u7b2c\u4e00\u4e2a\u566a\u58f0\u57fa\u56e0\u7684\u6765\u6e90\u3002\u6362\u5230\u771f\u5b9e\u57fa\u56e0\u65f6\uff0c\u628a\u4e09\u79cd\u8bc1\u636e\u653e\u5728\u540c\u4e00\u884c\u4f1a\u66f4\u5bb9\u6613\u4f5c\u51b3\u5b9a\u3002\u7b2c\u4e00\u9879\u8bb0\u5f55\u8de8\u5206\u5757\u8fd0\u884c\u65f6\u6210\u5458\u662f\u5426\u7a33\u5b9a\uff0c\u7b2c\u4e8c\u9879\u8bb0\u5f55\u6563\u70b9\u662f\u5426\u7531\u5c11\u6570\u6837\u672c\u4e3b\u5bfc\uff0c\u7b2c\u4e09\u9879\u8bb0\u5f55\u72ec\u7acb\u6837\u672c\u80fd\u5426\u9a8c\u8bc1\u76f8\u4f3c\u7684\u8868\u8fbe\u5173\u7cfb\u3002\u5373\u4f7f\u5019\u9009\u5728\u7b2c\u4e00\u9879\u53d1\u751f\u79fb\u52a8\uff0c\u5b83\u4e5f\u672a\u5fc5\u5e94\u5f53\u5254\u9664\uff0c\u5c24\u5176\u5f53\u4e24\u4e2a\u5019\u9009\u6a21\u5757\u672c\u6765\u5c31\u76f8\u5173\u65f6\u3002\u628a\u6709\u751f\u7269\u5b66\u4f9d\u636e\u4f46\u5f52\u5c5e\u6a21\u7cca\u7684\u57fa\u56e0\u5355\u5217\uff0c\u5e76\u4fdd\u7559\u539f\u59cb\u56fe\u548c\u7f16\u53f7\uff0c\u4f1a\u6bd4\u628a\u5b83\u5f3a\u884c\u5f52\u5230\u67d0\u79cd\u989c\u8272\u66f4\u65b9\u4fbf\u540e\u7eed\u5b9e\u9a8c\u8bbe\u8ba1\u3002<\/p>\n
\u4e0b\u8f7d\u4ee3\u7801\u548c\u793a\u4f8b\u6570\u636e\uff0c\u5728 Linux \u4e0a\u590d\u73b0<\/h2>\n
\u4e0b\u8f7d\u672c\u7bc7 R \u4ee3\u7801\uff08ZIP\uff0c5.0 KiB\uff09<\/a> \u00b7 \u4e0b\u8f7d\u914d\u5957\u793a\u4f8b\u6570\u636e\uff08ZIP\uff0c80.6 KiB\uff09<\/a><\/p>\n
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