{"id":36857,"date":"2024-04-22T10:19:07","date_gmt":"2024-04-22T02:19:07","guid":{"rendered":"http:\/\/www.biocloudservice.com\/wordpress\/?p=36857"},"modified":"2024-04-22T10:19:09","modified_gmt":"2024-04-22T02:19:09","slug":"%e8%b7%9f%e7%9d%80%e5%b0%8f%e4%ba%91%e5%ad%a6%e5%a4%8d%e7%8e%b0-%e6%8b%bf%e4%b8%8bif8-8%e9%ab%98%e5%88%86%e6%96%87%e7%ab%a0%e4%b8%ad%e5%8d%95%e7%bb%86%e8%83%9e%e7%9a%84%e5%a0%86%e5%8f%a0%e5%b1%b1","status":"publish","type":"post","link":"http:\/\/www.biocloudservice.com\/wordpress\/?p=36857","title":{"rendered":"\u8ddf\u7740\u5c0f\u4e91\u5b66\u590d\u73b0-\u62ff\u4e0bIF=8.8\u9ad8\u5206\u6587\u7ae0\u4e2d\u5355\u7ec6\u80de\u7684\u5806\u53e0\u5c71\u810a\u56fe\uff01\uff01\uff01"},"content":{"rendered":"

\"\"<\/p>\n

\u5c0f\u4e91\u6700\u8fd1\u53d1\u73b0\u5355\u7ec6\u80de\u7684\u70ed\u5ea6\u6700\u8fd1\u8d8a\u6765\u8d8a\u706b\u70ed\u4e86\uff0c\u8bb8\u591a\u7684\u9ad8\u5206\u6587\u7ae0\u90fd\u6dfb\u52a0\u4e86\u5355\u7ec6\u80de\u6570\u636e\u5206\u6790\u7684\u6a21\u5757\u3002\u6240\u4ee5\uff0c\u5c0f\u4e91\u4fbf\u627e\u4e86\u51e0\u7bc7\u9ad8\u5206\u6587\u732e\u770b\u4e86\u770b\uff0c\u53d1\u73b0\u9ad8\u5206\u6587\u7ae0\u4e2d\uff0c\u4ed6\u4eec\u5bf9\u5355\u7ec6\u80de\u6570\u636e\u4e0d\u6b62\u5206\u6790\u7684\u5f88\u5b8c\u6574\uff0c\u7ed8\u5236\u51fa\u7684\u56fe\u4e5f\u5f88\u597d\u770b\uff0c\u5e76\u4e14\u4ed6\u4eec\u5f53\u4e2d\u7684\u56fe\u4e2d\u7684\u914d\u8272\u4e5f\u662f\u4e00\u5927\u4eae\u70b9\u3002<\/p>\n

\u5c0f\u4e91\u89c9\u5f97\u5c0f\u4f19\u4f34\u5728\u5e73\u65f6\u5206\u6790\u5355\u7ec6\u80de\u6570\u636e\u7684\u65f6\u5019\uff0c\u4e0d\u77e5\u9053\u5982\u4f55\u7ed8\u5236\u7684\u53ef\u4ee5\u5b66\u4e60\u4e00\u4e0b\u9ad8\u5206\u6587\u7ae0\u4e2d\u7684\u56fe\u662f\u5982\u4f55\u7ed8\u5236\u7684\u3002\u56e0\u6b64\u5462\uff0c\u4eca\u5929\u5462\u5c0f\u4e91\u5728\u8fd9\u91cc\u624b\u628a\u624b\u7684\u5e26\u5c0f\u4f19\u4f34\u53bb\u590d\u73b0\u4e00\u4e9b\u9ad8\u5206\u6587\u7ae0\u4e2d\u7684\u56fe\uff0c\u8fd9\u6b21\u5c0f\u4e91\u770b\u7684\u4e00\u7bc7\u6587\u7ae0\u662f\u6765\u81ea\u5f71\u54cd\u56e0\u5b508.8\u7684\u300aCellpress\u300b\u671f\u520a\u4e2d\u7684\u300aSingle-cell RNA sequencing identifies a population of human liver-type ILC1s\u300b\u7684\u5355\u7ec6\u80de\u6570\u636e\u76f8\u5173\uff0c\u91cc\u9762\u4f5c\u8005\u7528\u4e86\u4e00\u4e9b\u56fe\u5f88\u597d\u770b\uff0c\u800c\u4e14\u6587\u7ae0\u4e2d\u8bb8\u591a\u7684\u5355\u7ec6\u80de\u6570\u636e\u90fd\u7528\u4e00\u79cd\u7c7b\u578b\u7684\u56fe\u53bb\u5c55\u793a\uff0c\u6211\u4eec\u6765\u770b\u4e00\u4e0b\u662f\u600e\u6837\u7684\u56fe<\/p>\n

<\/p>\n

\u6211\u4eec\u4ece\u4e0a\u56fe\u53ef\u4ee5\u770b\u51fa\u6765\u8fd9\u662f\u57fa\u56e0\u4e0e\u5355\u7ec6\u80de\u7684\u5173\u7cfb\uff0c\u6a2a\u5750\u6807\u662f\u57fa\u56e0\uff0c\u7eb5\u5750\u6807\u5355\u7ec6\u80de\u7c7b\u578b\uff0c\u90a3\u6211\u4eec\u662f\u4e0d\u662f\u4e5f\u53ef\u4ee5\u8fd9\u6837\u5b66\u7740\u7ed8\u5236\u4e00\u4e0b\u5462\uff0c<\/p>\n

\u6709\u7684\u5c0f\u4f19\u4f34\u8fd8\u4e0d\u77e5\u9053\u8fd9\u662f\u4ec0\u4e48\u7c7b\u578b\u7684\u56fe\uff0c\u6211\u4eec\u5148\u7b80\u5355\u4e86\u89e3\u4e00\u4e0b\uff0c\u5c0f\u4e91\u544a\u8bc9\u5927\u5bb6\u8fd9\u662f\u5c71\u810a\u56fe\uff0c\u4f46\u662f\u8fd9\u6709\u5f88\u591a\u4e2a\u201c\u5c71\u810a\u201d\uff0c\u4e5f\u53ef\u4ee5\u53eb\u505a\u5806\u53e0\u5c71\u810a\u56fe\uff0c\u539f\u7406\u5176\u5b9e\u548c\u6211\u4eec\u5e73\u65f6\u7b80\u5355\u5806\u53e0\u5c0f\u63d0\u7434\u56fe\u7c7b\u4f3c\uff0c\u6a2a\u5750\u6807\u4e00\u4e2a\u57fa\u56e0\u4e0e\u591a\u4e2a\u5355\u7ec6\u80de\u7c7b\u578b\u591a\u4e2a\u5173\u7cfb\uff0c\u90a3\u4e48\u6211\u4eec\u5c31\u53ef\u4ee5\u7528\u5c71\u810a\u56fe\u53bb\u53ef\u89c6\u5316\u51fa\u6765\uff0c\u6211\u4eec\u5229\u7528\u4e00\u4e0b\u5355\u7ec6\u80de\u7684\u6570\u636e\u53bb\u5b66\u4e60\u8fd9\u4e2a\u5c71\u810a\u56fe\uff0c\u597d\u4e86\u4e0b\u9762\u6211\u4eec\u53bb\u5b66\u4e60\u4e00\u4e0b\u3002<\/p>\n

\"\"<\/p>\n

\u8fd9\u91cc\u5462\u5c0f\u4e91\u8fd8\u8981\u8bf4\u660e\u4e00\u4e0b\uff0c\u6211\u4eec\u505a\u5355\u7ec6\u80de\u5206\u6790\u7684\u65f6\u5019\uff0c\u64cd\u4f5c\u5360\u7528\u5185\u5b58\u53ef\u80fd\u6bd4\u8f83\u5927\uff0c\u6240\u4ee5\u5efa\u8bae\u5404\u4f4d\u5c0f\u4f19\u4f34\u53ef\u4ee5\u4f7f\u7528\u670d\u52a1\u5668\u53bb\u8fd0\u884c\uff0c\u5982\u679c\u6ca1\u6709\u81ea\u5df1\u7684\u670d\u52a1\u5668\u4e5f\u6ca1\u6709\u5173\u7cfb\uff0c\u53ef\u4ee5\u6b22\u8fce\u8054\u7cfb\u6211\u4eec\u4f7f\u7528\u670d\u52a1\u5668\u79df\u8d41~<\/p>\n

\u6211\u4eec\u5148\u628a\u8981\u9700\u8981\u7684\u5305\u52a0\u8f7d\u4e00\u4e0b<\/p>\n

#\u76f8\u5173R\u5305\u8f7d\u5165\uff1a<\/p>\n

library(ggridges)<\/p>\n

library(ggplot2)<\/p>\n

library(cols4all)<\/p>\n

\u7136\u540e\u5bfc\u5165\u6211\u4eec\u7684\u6570\u636e<\/p>\n

#\u6570\u636e\u8bfb\u5165\uff1a<\/p>\n

df <- read.csv(‘data.csv’,header = T)<\/p>\n

head(df)<\/p>\n

<\/p>\n

\u5c0f\u4f19\u4f34\u53ef\u4ee5\u6309\u7167\u8fd9\u6837\u7684\u6570\u636e\u683c\u5f0f\u53bb\u81ea\u884c\u8bbe\u7f6e\uff0c<\/p>\n

\u8fd9\u91cc\u5c0f\u4e91\u5c31\u7528\u4e00\u70b9\u6570\u636e\u53bb\u590d\u73b0\uff0c<\/p>\n

\u6211\u4eec\u5148\u770b\u770b\u57fa\u7840\u7684\u5c71\u810a\u56fe<\/p>\n

#\u5916\u8f6e\u5ed3\u534a\u5f00\u653e<\/p>\n

p <- ggplot(data = df,<\/p>\n

aes(x = value, y = cell, fill = cell)) +<\/p>\n

geom_density_ridges() +<\/p>\n

theme_classic()<\/p>\n

p<\/p>\n

<\/p>\n

\u8fd9\u6837\u7684\u56fe\u5176\u5b9e\u5c31\u662f\u57fa\u7840\u7684\u7ed8\u5236\uff0c\u6211\u4eec\u9700\u8981\u4fee\u6539\u5f88\u591a\u7684\u7ec6\u8282\uff0c\u6765\u7ee7\u7eed\u5f80\u4e0b\u8d70<\/p>\n

\u8fd8\u6709\u4e00\u79cd\u5c55\u793a\u5f62\u5f0f<\/p>\n

#\u5916\u8f6e\u5ed3\u5c01\u95ed<\/p>\n

pp <- ggplot(data = df,<\/p>\n

aes(x = value, y = cell, fill = cell)) +<\/p>\n

geom_density_ridges2() +<\/p>\n

theme_classic()<\/p>\n

pp #<\/p>\n

<\/p>\n

\u611f\u89c9\u5c31\u662f\u51fd\u6570\u4e0d\u540c\uff0c\u5176\u4ed6\u7684\u7ec6\u8282\u6211\u4eec\u5c31\u9700\u8981\u7528\u5230\u6211\u4eec\u7684\u8001\u670b\u53cbggplot2\u4e86<\/p>\n

\u6765\u770b\u4e00\u4e0b\u7b80\u5355\u7684\u56fe\u5f62<\/p>\n

p1 <- ggplot(data = df,<\/p>\n

aes(x = value, y = cell, fill = cell)) +<\/p>\n

geom_density_ridges(alpha = 0.8,<\/p>\n

color = ‘white’,<\/p>\n

rel_min_height = 0.01, #\u5c3e\u90e8\u4fee\u526a\uff0c\u6570\u503c\u8d8a\u5927\u4fee\u526a\u7a0b\u5ea6\u8d8a\u9ad8<\/p>\n

scale = 1.8, #\u5c71\u810a\u91cd\u53e0\u7a0b\u5ea6\u8c03\u6574\uff0cscale = 1\u65f6\u521a\u597d\u89e6\u53ca\u57fa\u7ebf\uff0c\u6570\u503c\u8d8a\u5927\u91cd\u53e0\u5ea6\u8d8a\u9ad8<\/p>\n

#quantile_lines = TRUE, #\u663e\u793a\u5206\u4f4d\u6570\u7ebf<\/p>\n

quantiles = 2 #\u4ec5\u663e\u793a\u4e2d\u4f4d\u6570\u7ebf<\/p>\n

) +<\/p>\n

theme_classic() +<\/p>\n

theme(legend.position = ‘none’)<\/p>\n

p1<\/p>\n

<\/p>\n

\u8fd9\u6837\u4e00\u6765\u548c\u6587\u7ae0\u4e2d\u6709\u70b9\u76f8\u4f3c\uff0c\u6211\u4eec\u4e00\u6b65\u4e00\u6b65\u7684\u4fee\u6539\uff0c\u4fdd\u6301\u548c\u6587\u7ae0\u4e2d\u7c7b\u4f3c\uff0c\u6211\u4eec\u53ef\u4ee5\u4fee\u6539\u4e00\u4e0b\u5750\u6807\u8f74\u7684\u9650\u5236<\/p>\n

\u5728\u8fd9\u4e2a\u56fe\u7684\u57fa\u7840\u4e0a\uff1a<\/p>\n

#\u5750\u6807\u8f74\u9650\u5236\uff1a<\/p>\n

p2 <- p1 +<\/p>\n

scale_x_continuous(limits = c(-4, 4),<\/p>\n

breaks = seq(-4, 4, by = 2)) #x\u8f74\u9650\u5236<\/p>\n

p2<\/p>\n

<\/p>\n

\u7136\u540e\u628a\u6211\u4eec\u4e00\u822c\u9700\u8981\u7684\u9608\u503c\u7ebf\u518d\u52a0\u4e0a\u53bb\uff0c<\/p>\n

#\u9608\u503c\u7ebf\u6dfb\u52a0\uff1a<\/p>\n

p3 <- p2 +<\/p>\n

geom_vline(xintercept = c(-3, 3),<\/p>\n

size = 0.5,<\/p>\n

color = ‘grey’,<\/p>\n

lty = ‘dashed’)<\/p>\n

p3<\/p>\n

<\/p>\n

\u8fd9\u91cc\u5c0f\u4e91\u968f\u673a\u8bbe\u7f6e\u4e00\u4e0b\u9608\u503c\u8303\u56f4<\/p>\n

\u5230\u8fd9\u91cc\u8fd8\u6709\u4e00\u4e9b\u7ec6\u8282\u6ca1\u4fee\u6539\uff0c\u6211\u4eec\u518d\u53bb\u8c03\u6574\u4e00\u4e0b\u989c\u8272<\/p>\n

\u8fd9\u91cc\u5c0f\u4e91\u7ed9\u5c0f\u4f19\u4f34\u4ecb\u7ecd\u4e00\u4e2a\u8c03\u8272\u677f<\/p>\n

c4a_gui()<\/p>\n

\u6211\u4eec\u8f93\u5165\u8fd9\u4e2a\u8c03\u8272\u677f<\/p>\n

<\/p>\n

\u5c31\u4f1a\u8df3\u51fa\u6765\u8fd9\u4e2a\u9875\u9762\uff0c\u6211\u4eec\u53ef\u4ee5\u81ea\u884c\u53bb\u9009\u62e9\u8c03\u8272\u677f\u7684\u989c\u8272<\/p>\n

\u8fd9\u91cc\u5c0f\u4e91\u9009\u62e9\u4e00\u4e2a\u548c\u6587\u7ae0\u4e2d\u7c7b\u4f3c\u7684\u989c\u8272<\/p>\n

mycol <- c4a(‘prgn’,6)<\/p>\n

\u7136\u540e\u6211\u4eec\u6dfb\u52a0\u4e0a\u53bb\uff0c\u5c0f\u4f19\u4f34\u53ef\u80fd\u8fd8\u6709\u4e3b\u8981\u5230\uff0c\u6587\u7ae0\u4e2dY\u8f74\u5b57\u4f53\u5927\u5c0f\u8fd8\u6709\u989c\u8272\u4e5f\u662f\u6709\u53d8\u5316\u7684\uff0c\u6211\u4eec\u628a\u989c\u8272\u4fdd\u6301\u548c\u5c71\u810a\u56fe\u4e2d\u989c\u8272\u4e00\u81f4\uff0c\u5728\u628a\u5b57\u4f53\u8c03\u5927\uff0c\u6765\u770b\u4e00\u4e0b\uff0c<\/p>\n

p4 <- p3 +<\/p>\n

scale_fill_manual(values = mycol)+<\/p>\n

theme(axis.text.y = element_text(colour=mycol))+#y\u8f74\u6587\u672c\u8bbe\u7f6e<\/p>\n

theme(axis.text.y=element_text(vjust=1,size=16,face = “bold”))#y\u8f74\u5b57\u4f53\u5927\u5c0f\u8bbe\u7f6e<\/p>\n

p4<\/p>\n

\u8fd9\u4e9b\u90fd\u662f\u5728p1\u7684\u57fa\u7840\u4e0a\u52a0\u4e0a\u53bb\u7684\uff0c<\/p>\n

\u5230\u8fd9\u91cc\u5df2\u7ecf\u5dee\u4e0d\u591a\u4e86\uff0c\u770b\u770b\u8fd8\u6709\u90a3\u4e9b\u7ec6\u8282\u6ca1\u6709\u6539\uff0c\u8fd8\u6709\u6211\u4eec\u7684X\u8f74\u5750\u6807\u7684\u5b57\u4f53<\/p>\n

\u6211\u4eec\u5728\u4e3b\u9898\u8bbe\u7f6e\u4e2d\u52a0\u4e0a\u53bb theme(axis.title.x = element_text(<\/p>\n

size = 16, lineheight = .9,<\/p>\n

family = “Times”<\/p>\n

))<\/p>\n

\u6765\u770b\u4e0b<\/p>\n

p4 <- p3 +<\/p>\n

scale_fill_manual(values = mycol)+<\/p>\n

theme(axis.text.y = element_text(colour=mycol))+#y\u8f74\u5b57\u4f53\u989c\u8272\u8bbe\u7f6e<\/p>\n

theme(axis.text.y=element_text(vjust=1,size=16,face = “bold”))+y\u8f74\u5b57\u4f53\u5927\u5c0f\u8bbe\u7f6e<\/p>\n

theme(axis.title.x = element_text(<\/p>\n

size = 16, lineheight = .9,<\/p>\n

family = “Times”<\/p>\n

))<\/p>\n

p4<\/p>\n

<\/p>\n

\u597d\u4e86\uff0c\u6211\u4eec\u5230\u8fd9\u91cc\u5c31\u7ed8\u5236\u5dee\u4e0d\u591a\u4e86\uff0c\u4f46\u662f\u6587\u7ae0\u4e2d\u662f\u591a\u4e2a\u5c71\u810a\u56fe\u7ed8\u5236\u5728\u4e00\u8d77\u7684\uff0c\u8fd9\u5c31\u9700\u8981\u6211\u4eec\u6dfb\u52a0\u51e0\u4e2a\u5c71\u810a\u56fe\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u62fc\u56fe\u7684\u51fd\u6570\u53bb\u7ec4\u5408<\/p>\n

\u8fd9\u91cc\u6211\u4eec\u5728\u7ed8\u5236\u4e00\u4e2a\u548c\u4e0a\u8ff0\u4e00\u6837\u7684\u5c71\u810a\u56fe\u6765\u4f5c\u4e3a\u6f14\u793a\uff0c\u9700\u8981\u6ce8\u610f\u7684\u662f\u6211\u4eec\u9700\u8981\u628a\u5de6\u4fa7\u7684\u56fe\u6ce8\u5220\u9664\uff0c\u6587\u7ae0\u4e2d\u662f\u4f7f\u7528\u4e00\u4e2a\u56fe\u6ce8\u4f5c\u4e3a\u6f14\u793a\u6765\u770b\u4e00\u4e0b\uff0c\u8fd9\u6b21\u6211\u4eec\u4e00\u6b65\u5230\u4f4d<\/p>\n

p6 <- ggplot(data = df,<\/p>\n

aes(x = value, y = cell, fill = cell)) +<\/p>\n

geom_density_ridges(alpha = 0.8,<\/p>\n

color = ‘white’,<\/p>\n

rel_min_height = 0.01, #\u5c3e\u90e8\u4fee\u526a\uff0c\u6570\u503c\u8d8a\u5927\u4fee\u526a\u7a0b\u5ea6\u8d8a\u9ad8<\/p>\n

scale = 1.8, #\u5c71\u810a\u91cd\u53e0\u7a0b\u5ea6\u8c03\u6574\uff0cscale = 1\u65f6\u521a\u597d\u89e6\u53ca\u57fa\u7ebf\uff0c\u6570\u503c\u8d8a\u5927\u91cd\u53e0\u5ea6\u8d8a\u9ad8<\/p>\n

#quantile_lines = TRUE, #\u663e\u793a\u5206\u4f4d\u6570\u7ebf<\/p>\n

quantiles = 2 #\u4ec5\u663e\u793a\u4e2d\u4f4d\u6570\u7ebf<\/p>\n

) +<\/p>\n

scale_fill_manual(values = mycol)+<\/p>\n

theme_classic() +<\/p>\n

theme(legend.position = ‘none’)+#\u56fe\u6ce8\u4fe1\u606f\u6ce8\u91ca<\/p>\n

theme(axis.text.y = element_text(colour=mycol))+<\/p>\n

theme(axis.ticks = element_blank(), axis.text.y = element_blank())+<\/p>\n

theme(axis.title.x = element_text(<\/p>\n

size = 16, lineheight = .9,<\/p>\n

family = “Times”<\/p>\n

))#\u4fee\u6539X\u8f74\u6587\u672c\u4fe1\u606f<\/p>\n

p6<\/p>\n

<\/p>\n

\u4e0b\u9762\u6211\u4eec\u5c31\u53bb\u7ec4\u5408\u4e00\u4e0b<\/p>\n

\u4f7f\u7528<\/p>\n

cowplot::plot_grid(p4, p6,ncol = 2)\u5c31\u53ef\u4ee5<\/p>\n

<\/p>\n

\u8fd9\u91cc\u5c0f\u4e91\u6570\u636e\u4e0d\u662f\u5f88\u591a\uff0c\u6240\u4ee5\u989c\u8272\u7684\u533a\u5206\u6ca1\u6709\u6587\u7ae0\u4e2d\u90a3\u4e48\u591a\uff0c\u5c0f\u4f19\u4f34\u5b66\u4f1a\u4e86\u4e4b\u540e\u53ef\u4ee5\u7528\u81ea\u5df1\u7684\u6570\u636e\u53bb\u590d\u73b0\u4e00\u4e0b\uff0c\u597d\u4e86\u5230\u8fd9\u91cc\u5c0f\u4e91\u5c31\u6559\u5b8c\u4e86\uff0c\u5c0f\u4f19\u4f34\u8981\u591a\u591a\u7406\u89e3\u4ee3\u7801\u7684\u610f\u601d\uff0c\u8fd9\u6837\u624d\u80fd\u7ed8\u5236\u51fa\u81ea\u5df1\u56fe\u5f62\uff0c\u5feb\u53bb\u52a8\u624b\u8bd5\u8bd5\u5427\uff01<\/p>\n

\u6700\u540e\u5462\uff0c\u5c0f\u4e91\u7ed9\u5c0f\u4f19\u4f34\u5e26\u4e2a\u5c0f\u798f\u5229\uff0c\u5982\u679c\u5c0f\u4f19\u4f34\u89c9\u5f97\u81ea\u5df1\u8fd0\u884c\u4ee3\u7801\u592a\u9ebb\u70e6\uff0c\u53ef\u4ee5\u8bd5\u8bd5\u6211\u4eec\u7684\u4e91\u751f\u4fe1\u5c0f\u5de5\u5177\u54df\uff0c\u91cc\u9762\u6709\u6210\u719f\u7684\u4ee3\u7801\uff0c\u53ea\u8981\u8f93\u5165\u5408\u9002\u7684\u6570\u636e\u5c31\u53ef\u4ee5\u76f4\u63a5\u51fa\u60f3\u8981\u7684\u56fe\u5462\u3002<\/p>\n

\u591a\u591a\u5173\u6ce8\u6211\u4eec\u516c\u4f17\u53f7\uff0c\u4e91\u751f\u4fe1\uff01<\/p>\n

\"\"<\/p>\n","protected":false},"excerpt":{"rendered":"

\u5c0f\u4e91\u6700\u8fd1\u53d1\u73b0\u5355\u7ec6\u80de\u7684\u70ed\u5ea6\u6700\u8fd1\u8d8a\u6765\u8d8a\u706b\u70ed\u4e86\uff0c\u8bb8\u591a\u7684\u9ad8\u5206\u6587\u7ae0\u90fd\u6dfb\u52a0\u4e86\u5355\u7ec6\u80de\u6570\u636e\u5206\u6790\u7684\u6a21\u5757\u3002\u6240\u4ee5\uff0c\u5c0f\u4e91\u4fbf\u627e\u4e86\u51e0\u7bc7\u9ad8\u5206 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":""},"categories":[1],"tags":[],"jetpack_featured_media_url":"","_links":{"self":[{"href":"http:\/\/www.biocloudservice.com\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/36857"}],"collection":[{"href":"http:\/\/www.biocloudservice.com\/wordpress\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.biocloudservice.com\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.biocloudservice.com\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.biocloudservice.com\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=36857"}],"version-history":[{"count":1,"href":"http:\/\/www.biocloudservice.com\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/36857\/revisions"}],"predecessor-version":[{"id":36876,"href":"http:\/\/www.biocloudservice.com\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/36857\/revisions\/36876"}],"wp:attachment":[{"href":"http:\/\/www.biocloudservice.com\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=36857"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.biocloudservice.com\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=36857"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.biocloudservice.com\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=36857"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}