{"id":802,"date":"2024-10-21T17:15:48","date_gmt":"2024-10-21T09:15:48","guid":{"rendered":"https:\/\/yunshangtulv.com.cn\/?p=802"},"modified":"2024-10-21T17:15:48","modified_gmt":"2024-10-21T09:15:48","slug":"%e7%83%ad%e5%9b%be","status":"publish","type":"post","link":"https:\/\/yunshangtulv.com.cn\/?p=802","title":{"rendered":"\u70ed\u56fe"},"content":{"rendered":"

\"\"1.\u89e3\u91ca\u56fe\u7247\u7279\u70b9<\/h3>\n

\u8fd9\u5f20\u56fe\u662f\u4e00\u4e2a\u70ed\u56fe\uff08Heatmap\uff09\uff0c\u7528\u4e8e\u5c55\u793a\u4e0d\u540c\u6837\u672c\u4e4b\u95f4\u7684\u57fa\u56e0\u8868\u8fbe\u91cf\u7684\u5dee\u5f02\u3002\u8be5\u56fe\u7684\u7279\u70b9\u5982\u4e0b\uff1a<\/h4>\n

\u6570\u636e\u5206\u7ec4\uff1a\u6837\u672c\u88ab\u5206\u4e3a\u4e24\u4e2a\u7ec4\uff08A \u548c B\uff09\uff0c\u6bcf\u7ec4\u7684\u6837\u672c\u901a\u8fc7\u4e0d\u540c\u7684\u989c\u8272\u6761\u6807\u8bb0\uff0c\u5206\u522b\u4e3a\u9752\u8272\u548c\u7c89\u8272\uff0c\u663e\u793a\u5728\u56fe\u7684\u9876\u90e8\u3002
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2.\u6570\u636e\u8981\u6c42<\/h3>\n

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3.\u7528R\u4ee3\u7801\u751f\u6210\u865a\u62df\u6570\u636e\u5e76\u7ed8\u5236\u70ed\u56fe<\/h3>\n
# \u751f\u6210\u865a\u62df\u6570\u636e\r\nset.seed(123)\r\ngene_names <- c(\"SLC7A2\", \"PLXND1\", \"MTMR7\", \"ARF5\", \"SARM1\", \"POLDIP2\", \"NDUFAF7\", \r\n                \"ICA1\", \"CFLAR\", \"ALS2\", \"TFPI\", \"CASP10\", \"DBNDD1\", \"RBM5\")\r\nsample_names <- c(\"A-1\", \"A-2\", \"A-3\", \"B-1\", \"B-2\")\r\ngroup <- c(\"A\", \"A\", \"A\", \"B\", \"B\")\r\n\r\ndata_matrix <- matrix(rnorm(14 * 5, mean = 0, sd = 1), nrow = 14, ncol = 5, dimnames = list(gene_names, sample_names))\r\ndata_frame <- as.data.frame(data_matrix)\r\n\r\n# \u6dfb\u52a0\u5206\u7ec4\u4fe1\u606f\u5230\u5217\u6ce8\u91ca\u6570\u636e\u6846\r\ngroup_info <- data.frame(Group = group)\r\nrownames(group_info) <- sample_names\r\n\r\n# \u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\r\nwrite.csv(data_frame, file = \"heatmap_data.csv\", row.names = TRUE)\r\nwrite.csv(group_info, file = \"group_info.csv\", row.names = TRUE)\r\n\r\n# \u8bfb\u53d6CSV\u6587\u4ef6\r\nheatmap_data <- read.csv(\"heatmap_data.csv\", row.names = 1)\r\ngroup_info <- read.csv(\"group_info.csv\", row.names = 1)\r\n\r\ngroup_info <- group_info\r\nheatmap_data <- data_frame\r\n\r\n# \u4f7f\u7528pheatmap\u7ed8\u5236\u70ed\u56fe\r\nif (!require(\"pheatmap\")) install.packages(\"pheatmap\")\r\nlibrary(pheatmap)\r\n\r\nlibrary(RColorBrewer)\r\n# \u5206\u79bb\u57fa\u56e0\u8868\u8fbe\u6570\u636e\u548c\u5206\u7ec4\u4fe1\u606f\r\nexpression_data <- heatmap_data[, -ncol(heatmap_data)]\r\n\r\n# \u8bbe\u7f6e\u989c\u8272\r\nann_colors <- list(Group = c(A = \"#66c2a5\", B = \"#fc8d62\"))\r\n\r\n# \u6309\u5217\u805a\u7c7b\r\npheatmap(heatmap_data, \r\n         cluster_rows = TRUE, \r\n         cluster_cols = TRUE, \r\n         annotation_col = group_info,\r\n         annotation_colors = list(Group = c(A = \"#00BFC4\", B = \"#F8766D\")),\r\n         color = colorRampPalette(c(\"blue\", \"white\", \"red\"))(50),\r\n         scale = \"row\",\r\n         fontsize_row = 12,\r\n         fontsize_col = 12,\r\n         legend_breaks = seq(-1.5, 1.5, by = 0.5),\r\n         legend_labels = seq(-1.5, 1.5, by = 0.5),\r\n         annotation_legend = TRUE,\r\n         main = \"Heatmap of Gene Expression\",\r\n         border_color = NA,\r\n         cellwidth = 20, \r\n         cellheight = 15)\r\n\r\n# \u5206\u7ec4\u5c55\u793a\r\npheatmap(heatmap_data, \r\n         cluster_rows = TRUE, \r\n         cluster_cols = FALSE, \r\n         annotation_col = group_info,\r\n         annotation_colors = list(Group = c(A = \"#00BFC4\", B = \"#F8766D\")),\r\n         color = colorRampPalette(c(\"blue\", \"white\", \"red\"))(50),\r\n         scale = \"row\",\r\n         fontsize_row = 12,\r\n         fontsize_col = 12,\r\n         legend_breaks = seq(-1.5, 1.5, by = 0.5),\r\n         legend_labels = seq(-1.5, 1.5, by = 0.5),\r\n         annotation_legend = TRUE,\r\n         main = \"Heatmap of Gene Expression\",\r\n         border_color = NA,\r\n         cellwidth = 20, \r\n         cellheight = 15,\r\n         clustering_distance_cols = \"euclidean\",\r\n         clustering_method = \"ward.D2\",\r\n         gaps_col = c(3))<\/code><\/pre>\n
\"\"<\/p>\n
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