{"id":25600,"date":"2024-01-22T17:12:51","date_gmt":"2024-01-22T09:12:51","guid":{"rendered":"http:\/\/www.biocloudservice.com\/wordpress\/?p=25600"},"modified":"2024-01-22T17:12:52","modified_gmt":"2024-01-22T09:12:52","slug":"%e5%b0%8f%e6%9e%9c%e5%b8%a6%e4%bd%a0%e5%ad%a6%e5%85%8d%e7%96%ab%e6%b5%b8%e6%b6%a6%e7%9b%b8%e5%85%b3%e5%9f%ba%e5%9b%a0%e7%9a%84venn%e5%9b%be%e7%bb%98%e5%88%b6","status":"publish","type":"post","link":"http:\/\/www.biocloudservice.com\/wordpress\/?p=25600","title":{"rendered":"\u5c0f\u679c\u5e26\u4f60\u5b66\u514d\u75ab\u6d78\u6da6\u76f8\u5173\u57fa\u56e0\u7684Venn\u56fe\u7ed8\u5236"},"content":{"rendered":"

Venn\u56fe\u53ef\u4ee5\u76f4\u89c2\u5730\u663e\u793a\u4e0d\u540c\u6761\u4ef6\u4e0b\u7684\u5dee\u5f02\u57fa\u56e0\u4e4b\u95f4\u7684\u91cd\u53e0\u60c5\u51b5\u3002\u901a\u8fc7\u4ea4\u53c9\u533a\u57df\u7684\u5927\u5c0f\u548c\u91cd\u53e0\u533a\u57df\u7684\u6570\u91cf\uff0c\u53ef\u4ee5\u4e86\u89e3\u5728\u4e0d\u540c\u6761\u4ef6\u4e0b\u5177\u6709\u5171\u540c\u8868\u8fbe\u53d8\u5316\u7684\u57fa\u56e0\u6570\u91cf\u548c\u5171\u6709\u7684\u57fa\u56e0\u96c6\u5408\u3002\u7b5b\u9009\u51fa\u5177\u6709\u5171\u540c\u8c03\u8282\u7684\u57fa\u56e0\uff1a\u901a\u8fc7\u89c2\u5bdfVenn\u56fe\u4e2d\u7684\u4ea4\u53c9\u533a\u57df\uff0c\u53ef\u4ee5\u7b5b\u9009\u51fa\u5728\u4e0d\u540c\u6761\u4ef6\u4e0b\u5177\u6709\u5171\u540c\u8c03\u8282\u7684\u57fa\u56e0\u3002\u4ea4\u53c9\u533a\u57df\u4e2d\u7684\u57fa\u56e0\u8868\u793a\u5728\u591a\u4e2a\u6761\u4ef6\u4e0b\u5747\u53d1\u751f\u8868\u8fbe\u53d8\u5316\uff0c\u8fd9\u4e9b\u57fa\u56e0\u53ef\u80fd\u5728\u76f8\u4f3c\u7684\u751f\u7269\u8fc7\u7a0b\u6216\u4fe1\u53f7\u901a\u8def\u4e2d\u8d77\u7740\u91cd\u8981\u7684\u8c03\u8282\u4f5c\u7528\u3002\u53ef\u89c6\u5316\u548c\u62a5\u544a\u7ed3\u679c\uff1aVenn\u56fe\u4f5c\u4e3a\u5dee\u5f02\u8868\u8fbe\u5206\u6790\u7684\u53ef\u89c6\u5316\u5de5\u5177\uff0c\u53ef\u4ee5\u76f4\u89c2\u5730\u5448\u73b0\u57fa\u56e0\u7684\u91cd\u53e0\u60c5\u51b5\u548c\u5171\u540c\u8c03\u8282\u7684\u6a21\u5f0f\u3002Venn\u56fe\u53ef\u4ee5\u5e2e\u52a9\u786e\u5b9a\u5728\u7279\u5b9a\u6761\u4ef6\u4e0b\u7279\u5f02\u6027\u7684\u5dee\u5f02\u57fa\u56e0\u3002\u901a\u8fc7\u89c2\u5bdfVenn\u56fe\u4e2d\u5355\u72ec\u7684\u533a\u57df\uff0c\u53ef\u4ee5\u8bc6\u522b\u5728\u67d0\u4e2a\u6761\u4ef6\u4e0b\u5177\u6709\u7279\u5b9a\u8868\u8fbe\u53d8\u5316\u7684\u57fa\u56e0\uff0c\u8fd9\u4e9b\u57fa\u56e0\u53ef\u80fd\u4e0e\u8be5\u6761\u4ef6\u4e0b\u7684\u751f\u7269\u8fc7\u7a0b\u6216\u75be\u75c5\u673a\u5236\u5bc6\u5207\u76f8\u5173\u3002<\/p>\n

\u786e\u5b9a\u7279\u5b9a\u6761\u4ef6\u4e0b\u7684\u5dee\u5f02\u57fa\u56e0\uff1aVenn\u56fe\u53ef\u4ee5\u5e2e\u52a9\u786e\u5b9a\u5728\u7279\u5b9a\u6761\u4ef6\u4e0b\u7279\u5f02\u6027\u7684\u5dee\u5f02\u57fa\u56e0\u3002\u901a\u8fc7\u89c2\u5bdfVenn\u56fe\u4e2d\u5355\u72ec\u7684\u533a\u57df\uff0c\u53ef\u4ee5\u8bc6\u522b\u5728\u67d0\u4e2a\u6761\u4ef6\u4e0b\u5177\u6709\u7279\u5b9a\u8868\u8fbe\u53d8\u5316\u7684\u57fa\u56e0\uff0c\u8fd9\u4e9b\u57fa\u56e0\u53ef\u80fd\u4e0e\u8be5\u6761\u4ef6\u4e0b\u7684\u751f\u7269\u8fc7\u7a0b\u6216\u75be\u75c5\u673a\u5236\u5bc6\u5207\u76f8\u5173\u3002\u901a\u8fc7\u5dee\u5f02\u8868\u8fbe\u5206\u6790\u7ed3\u679c\u6587\u4ef6\uff0c\u751f\u6210\u57fa\u8d28\u7ec6\u80de\u548c\u514d\u75ab\u7ec6\u80de\u5dee\u5f02\u57fa\u56e0\u7684Venn\u56fe\uff0c\u5e76\u8f93\u51fa\u4ea4\u96c6\u57fa\u56e0\u7684\u5e73\u5747logFC\u503c\u3002<\/p>\n

library(“limma”)<\/p>\n

library(“pheatmap”)<\/p>\n

fdrFilter=0.05 #fdr\u4e34\u754c\u503c<\/p>\n

logFCfilter=1 #logFC\u4e34\u754c\u503c<\/p>\n

scoreType=”ImmuneScore” #\u6309ImmuneScore\u5206\u7ec4<\/p>\n

inputFile=”symbol.txt” #\u8f93\u5165\u6587\u4ef6<\/p>\n

scoreFile=”scores.txt” #score\u6587\u4ef6<\/p>\n

<\/p>\n

#\u8bfb\u53d6\u8868\u8fbe\u8f93\u5165\u6587\u4ef6<\/p>\n

rt=read.table(inputFile,sep=”\\t”,header=T,check.names=F)<\/p>\n

rt=as.matrix(rt)<\/p>\n

<\/p>\n

rownames(rt)=rt[,1]<\/p>\n

exp=rt[,2:ncol(rt)]<\/p>\n

dimnames=list(rownames(exp),colnames(exp))<\/p>\n

data=matrix(as.numeric(as.matrix(exp)),nrow=nrow(exp),dimnames=dimnames)<\/p>\n

data=avereps(data)<\/p>\n

data=data[rowMeans(data)>0.1,]<\/p>\n

#\u5220\u9664\u6b63\u5e38\u6837\u54c1<\/p>\n

group=sapply(strsplit(colnames(data),”\\\\-“),”[“,4)<\/p>\n

group=sapply(strsplit(group,””),”[“,1)<\/p>\n

group=gsub(“2″,”1″,group)<\/p>\n

data=data[,group==0]<\/p>\n

#\u8bfb\u53d6score\u6587\u4ef6,\u6839\u636escore\u4e2d\u4f4d\u503c\u5bf9\u6837\u54c1\u5206\u7ec4<\/p>\n

score=read.table(scoreFile,sep=”\\t”,header=T,check.names=F)<\/p>\n

<\/p>\n

med=median(score[,scoreType])<\/p>\n

conTab=score[score[,scoreType]<=med,]<\/p>\n

treatTab=score[score[,scoreType]>med,]<\/p>\n

con=as.vector(conTab[,1])<\/p>\n

treat=as.vector(treatTab[,1])<\/p>\n

conNum=length(con)<\/p>\n

treatNum=length(treat)<\/p>\n

data=cbind(data[,con],data[,treat])<\/p>\n

#\u5dee\u5f02\u5206\u6790<\/p>\n

outTab=data.frame()<\/p>\n

Type=c(rep(1,conNum),rep(2,treatNum))<\/p>\n

for(i in row.names(data)){<\/p>\n

geneName=unlist(strsplit(i,”\\\\|”,))[1]<\/p>\n

geneName=gsub(“\\\\\/”, “_”, geneName)<\/p>\n

rt=rbind(expression=data[i,],Type=Type)<\/p>\n

rt=as.matrix(t(rt))<\/p>\n

wilcoxTest<-wilcox.test(expression ~ Type, data=rt)<\/p>\n

conGeneMeans=mean(data[i,1:conNum])<\/p>\n

treatGeneMeans=mean(data[i,(conNum+1):ncol(data)])<\/p>\n

logFC=log2(treatGeneMeans)-log2(conGeneMeans)<\/p>\n

pvalue=wilcoxTest$p.value<\/p>\n

conMed=median(data[i,1:conNum])<\/p>\n

treatMed=median(data[i,(conNum+1):ncol(data)])<\/p>\n

diffMed=treatMed-conMed<\/p>\n

if( ((logFC>0) & (diffMed>0)) | ((logFC<0) & (diffMed<0)) ){<\/p>\n

outTab=rbind(outTab,cbind(gene=i,conMean=conGeneMeans,treatMean=treatGeneMeans,logFC=logFC,pValue=pvalue))<\/p>\n

}<\/p>\n

}<\/p>\n

pValue=outTab[,”pValue”]<\/p>\n

fdr=p.adjust(as.numeric(as.vector(pValue)),method=”fdr”)<\/p>\n

outTab=cbind(outTab,fdr=fdr)<\/p>\n

#\u8f93\u51fa\u6240\u6709\u57fa\u56e0\u7684\u5dee\u5f02\u60c5\u51b5<\/p>\n

write.table(outTab,file=”Immune.all.xls”,sep=”\\t”,row.names=F,quote=F)<\/p>\n

#\u8f93\u51fa\u5dee\u5f02\u8868\u683c<\/p>\n

diffSig=outTab[(abs(as.numeric(as.vector(outTab$logFC)))>logFCfilter& as.numeric(as.vector(outTab$fdr))<fdrFilter),]<\/p>\n

write.table(diffSig,file=”Immune.Diff.txt”,sep=”\\t”,row.names=F,quote=F)<\/p>\n

\u8fd9\u6837\u5c31\u5f97\u5230\u4e86\u6211\u4eec\u540e\u7eed\u5206\u6790\u4ea4\u96c6\u57fa\u56e0\u7684Immune.Diff.txt\u6587\u4ef6\uff0c\u5bf9Stromal\u57fa\u8d28\u7ec6\u80de\u64cd\u4f5c\u5b8c\u5168\u4e00\u6837,\u4e0b\u9762\u662f\u5728\u5bfb\u627e\u7b5b\u9009\u5173\u952e\u57fa\u56e0\u7684\u4ee3\u7801\uff0c\u6211\u4eec\u7ed8\u5236venn\u56fe\u7b80\u5355\u6e05\u6670\u7684\u5c55\u793a\u3002<\/strong><\/p>\n

#install.packages(“VennDiagram”)<\/p>\n

\u7528\u4e8e\u5b89\u88c5\u6240\u9700\u7684R\u5305VennDiagram\uff0c\u5982\u679c\u5df2\u7ecf\u5b89\u88c5\u4e86\u5219\u53ef\u4ee5\u8df3\u8fc7\u5b89\u88c5\u6b65\u9aa4\u3002<\/p>\n

library(VennDiagram) #\u5f15\u7528\u5305<\/p>\n

StromalFile=”Stromal.Diff.txt” #\u57fa\u8d28\u7ec6\u80de\u5dee\u5f02\u7ed3\u679c\u6587\u4ef6<\/strong><\/p>\n

<\/p>\n

ImmuneFile=”Immune.Diff.txt” #\u514d\u75ab\u7ec6\u80de\u5dee\u5f02\u7ed3\u679c\u6587\u4ef6<\/strong><\/p>\n

<\/p>\n

upList=list()<\/p>\n

downList=list()<\/p>\n

#\u8fd9\u4e9b\u4ee3\u7801\u6307\u5b9a\u4e86\u57fa\u8d28\u7ec6\u80de\u5dee\u5f02\u7ed3\u679c\u6587\u4ef6\u548c\u514d\u75ab\u7ec6\u80de\u5dee\u5f02\u7ed3\u679c\u6587\u4ef6\u7684\u6587\u4ef6\u540d\uff0c<\/p>\n

#\u5e76\u521b\u5efa\u4e86\u4e24\u4e2a\u7a7a\u7684\u5217\u8868upList\u548cdownList\uff0c\u7528\u4e8e\u5b58\u50a8\u4e0a\u8c03\u548c\u4e0b\u8c03\u57fa\u56e0\u7684\u540d\u79f0<\/p>\n

#\u8bfb\u53d6Stromal\u6587\u4ef6<\/p>\n

Stromal=read.table(StromalFile,header=T,sep=”\\t”,check.names=F,row.names=1)<\/p>\n

upList[[“Stromal”]]=row.names(Stromal[Stromal[,”logFC”]>0,])<\/p>\n

downList[[“Stromal”]]=row.names(Stromal[Stromal[,”logFC”]<0,])<\/p>\n

<\/p>\n

<\/p>\n

#\u8bfb\u53d6\u57fa\u8d28\u7ec6\u80de\u5dee\u5f02\u7ed3\u679c\u6587\u4ef6\uff0c\u5e76\u6839\u636elogFC\u7684\u6b63\u8d1f\u5c06\u4e0a\u8c03\u548c\u4e0b\u8c03\u7684\u57fa\u56e0\u540d\u79f0<\/p>\n

#\u5206\u522b\u5b58\u50a8\u5728upList[[“Stromal”]]\u548cdownList[[“Stromal”]]\u4e2d\u3002<\/p>\n

#\u8bfb\u53d6Immune\u6587\u4ef6<\/p>\n

Immune=read.table(ImmuneFile,header=T,sep=”\\t”,check.names=F,row.names=1)<\/p>\n

upList[[“Immune”]]=row.names(Immune[Immune[,”logFC”]>0,])<\/p>\n

downList[[“Immune”]]=row.names(Immune[Immune[,”logFC”]<0,])<\/p>\n

#\u8bfb\u514d\u75ab\u7ec6\u80de\u5dee\u5f02\u7ed3\u679c\u6587\u4ef6\u6839\u636elogFC\u7684\u6b63\u8d1f\u5c06\u4e0a\u8c03\u548c\u4e0b\u8c03\u7684\u57fa\u56e0\u540d\u79f0\u5206\u522b\u5b58\u50a8<\/p>\n

\u5728upList[[“Immune”]]\u548cdownList[[“Immune”]]\u4e2d\u3002<\/p>\n

#\u4e0a\u8c03venn\u56fe<\/p>\n

upVenn=venn.diagram(upList,filename=NULL,main=”Up”,main.cex = 2,<\/p>\n

fill=c(“darkblue”, “darkgreen”),cat.cex=1.2)<\/p>\n

pdf(file=”UP.venn.pdf”,width=7,height=7)<\/p>\n

grid.draw(upVenn)<\/p>\n

dev.off()<\/p>\n

upGenes=Reduce(intersect,upList)<\/p>\n

#\u751f\u6210\u4e0a\u8c03\u57fa\u56e0\u7684Venn\u56fe\u3002\u4f7f\u7528venn.diagram\u51fd\u6570\u6839\u636e\u4e0a\u8c03\u57fa\u56e0\u7684\u5217\u8868upList<\/p>\n

#\u7ed8\u5236Venn\u56fe\uff0c\u5e76\u8bbe\u7f6e\u56fe\u7684\u6807\u9898\u3001\u4e3b\u6807\u9898\u5b57\u4f53\u5927\u5c0f\u3001\u586b\u5145\u989c\u8272\u7b49\u3002\u7136\u540e\u4f7f\u7528pdf #\u51fd\u6570\u521b\u5efa\u4e00\u4e2a\u8f93\u51fa\u6587\u4ef6\uff0c\u5c06Venn\u56fe\u4fdd\u5b58\u4e3aPDF\u683c\u5f0f\u3002\u63a5\u4e0b\u6765\u4f7f\u7528grid.draw\u51fd<\/p>\n

#\u6570\u7ed8\u5236Venn\u56fe\uff0c\u5e76\u4f7f\u7528dev.off\u51fd\u6570\u5173\u95edPDF\u8bbe\u5907\u3002<\/p>\n

#\u6700\u540e\uff0c\u4f7f\u7528Reduce\u51fd\u6570\u8ba1\u7b97\u4e0a\u8c03\u57fa\u56e0\u5217\u8868\u7684\u4ea4\u96c6\uff0c\u5e76\u5c06\u7ed3\u679c\u5b58\u50a8\u5728upGenes\u3002<\/p>\n

#\u4e0b\u8c03venn\u56fe<\/p>\n

downVenn=venn.diagram(downList,filename=NULL,main=”Down”,main.cex = 2,<\/p>\n

fill=c(“darkblue”, “darkgreen”),cat.cex=1.2)<\/p>\n

pdf(file=”DOWN.venn.pdf”,width=7,height=7)<\/p>\n

grid.draw(downVenn)<\/p>\n

dev.off()<\/p>\n

downGenes=Reduce(intersect,downList)<\/p>\n

\u751f\u6210\u4e0b\u8c03\u57fa\u56e0\u7684Venn\u56fe\uff0c\u8fc7\u7a0b\u4e0e\u4e0a\u8c03\u57fa\u56e0\u7684Venn\u56fe\u7c7b\u4f3c\uff0c<\/p>\n

\u53ea\u662f\u6807\u9898\u548c\u8f93\u51fa\u6587\u4ef6\u540d\u4e0d\u540c\uff0c\u5e76\u5c06\u7ed3\u679c\u5b58\u50a8\u5728downGenes\u4e2d\u3002<\/p>\n

#\u8f93\u51fa\u4ea4\u96c6\u57fa\u56e0<\/p>\n

upLogFC=(as.matrix(Stromal)[upGenes,”logFC”]+as.matrix(Immune)[upGenes,”logFC”])\/2<\/p>\n

downLogFC=(as.matrix(Stromal)[downGenes,”logFC”]+as.matrix(Immune)[downGenes,”logFC”])\/2<\/p>\n

logFC=c(upLogFC,downLogFC)<\/p>\n

outTab=as.data.frame(logFC)<\/p>\n

outTab=cbind(ID=row.names(outTab),outTab)<\/p>\n

colnames(outTab)=c(“Gene”,”logFC”)<\/p>\n

write.table(file=”intersectGenes.txt”,outTab,sep=”\\t”,quote=F,row.names=F)<\/p>\n

<\/p>\n

#\u8ba1\u7b97\u4ea4\u96c6\u57fa\u56e0\u7684\u5e73\u5747logFC\u503c\uff0c\u5e76\u5c06\u7ed3\u679c\u5b58\u50a8\u5728logFC\u53d8\u91cf\u4e2d\u3002<\/p>\n

#\u7136\u540e\uff0c\u5c06\u4ea4\u96c6\u57fa\u56e0\u7684ID\u548clogFC\u503c\u7ec4\u5408\u6210\u4e00\u4e2a\u6570\u636e\u6846outTab\uff0c\u5e76\u4e3a\u5217\u547d\u540d\u3002<\/p>\n

#\u6700\u540e\uff0c\u4f7f\u7528write.table\u51fd\u6570\u5c06\u7ed3\u679c\u5199\u5165\u540d\u4e3a”intersectGenes.txt”\u7684\u6587\u4ef6\u4e2d<\/p>\n

<\/p>\n

\u7efc\u4e0a\u6240\u8ff0\uff0c\u5dee\u5f02\u8868\u8fbe\u5206\u6790\u7684Venn\u56fe\u5177\u6709\u663e\u793a\u5dee\u5f02\u57fa\u56e0\u7684\u91cd\u53e0\u60c5\u51b5\u3001\u7b5b\u9009\u5171\u540c\u8c03\u8282\u7684\u57fa\u56e0\u3001\u786e\u5b9a\u7279\u5b9a\u6761\u4ef6\u4e0b\u7684\u5dee\u5f02\u57fa\u56e0\u3001\u8f85\u52a9\u751f\u7269\u5b66\u89e3\u91ca\u548c\u5b9e\u9a8c\u8bbe\u8ba1\uff0c\u4ee5\u53ca\u53ef\u89c6\u5316\u548c\u62a5\u544a\u7ed3\u679c\u7684\u529f\u80fd\u548c\u610f\u4e49\u3002\u5b83\u5728\u5dee\u5f02\u8868\u8fbe\u5206\u6790\u548c\u751f\u7269\u5b66\u7814\u7a76\u4e2d\u53d1\u6325\u91cd\u8981\u4f5c\u7528\uff0c\u5e2e\u52a9\u63ed\u793a\u57fa\u56e0\u8c03\u63a7\u548c\u751f\u7269\u8fc7\u7a0b\u7684\u5dee\u5f02\uff0c\u4e3a\u75be\u75c5\u673a\u5236\u548c\u6cbb\u7597\u9776\u70b9\u7684\u7814\u7a76\u63d0\u4f9b\u91cd\u8981\u7ebf\u7d22\u3002\u4e0b\u671f\u5c06\u4e3a\u4f60\u5e26\u6765\u66f4\u591aR\u8bed\u8a00\u7684\u9a9a\u64cd\u4f5c\u6280\u5de7\uff0c\u4ee5\u4e0b\u63a8\u8350\u7684\u662f\u4e00\u4e2a\u591a\u529f\u80fd\u7684\u751f\u4fe1\u5e73\u53f0\u3002<\/p>\n

\u4e91\u751f\u4fe1\u5e73\u53f0\u94fe\u63a5\uff1ahttp:\/\/www.biocloudservice.com\/home.html\u3002<\/a><\/p>\n

\u4e91\u751f\u4fe1\u5e73\u53f0\u94fe\u63a5\uff1ahttp:\/\/www.biocloudservice.com\/home.html\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

Venn\u56fe\u53ef\u4ee5\u76f4\u89c2\u5730\u663e\u793a\u4e0d\u540c\u6761\u4ef6\u4e0b\u7684\u5dee\u5f02\u57fa\u56e0\u4e4b\u95f4\u7684\u91cd\u53e0\u60c5\u51b5\u3002\u901a\u8fc7\u4ea4\u53c9\u533a\u57df\u7684\u5927\u5c0f\u548c\u91cd\u53e0\u533a\u57df\u7684\u6570\u91cf\uff0c\u53ef\u4ee5\u4e86\u89e3\u5728\u4e0d\u540c […]<\/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\/25600"}],"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=25600"}],"version-history":[{"count":1,"href":"http:\/\/www.biocloudservice.com\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/25600\/revisions"}],"predecessor-version":[{"id":25612,"href":"http:\/\/www.biocloudservice.com\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/25600\/revisions\/25612"}],"wp:attachment":[{"href":"http:\/\/www.biocloudservice.com\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=25600"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.biocloudservice.com\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=25600"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.biocloudservice.com\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=25600"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}