{"id":28320,"date":"2024-02-06T10:29:37","date_gmt":"2024-02-06T02:29:37","guid":{"rendered":"http:\/\/www.biocloudservice.com\/wordpress\/?p=28320"},"modified":"2024-02-06T10:29:39","modified_gmt":"2024-02-06T02:29:39","slug":"%e8%83%bd%e7%94%bb%e9%9b%b7%e8%be%be%e5%9b%be%e7%9a%84fmsb%e5%8c%85%ef%bc%9a%e6%89%93%e9%80%a0%e5%b1%9e%e4%ba%8e%e4%bd%a0%e8%87%aa%e5%b7%b1%e7%9a%84%e5%85%ad%e8%be%b9%e5%bd%a2%e6%88%98","status":"publish","type":"post","link":"http:\/\/www.biocloudservice.com\/wordpress\/?p=28320","title":{"rendered":"\u80fd\u753b\u96f7\u8fbe\u56fe\u7684fmsb\u5305\uff1a\u6253\u9020\u5c5e\u4e8e\u4f60\u81ea\u5df1\u7684\u2018\u516d\u8fb9\u5f62\u6218\u58eb\u2019"},"content":{"rendered":"

Hello\uff0c\u5404\u4f4d\u5c0f\u4f19\u4f34\u5927\u5bb6\u597d\u554a\uff0c\u53c8\u5230\u4e86\u5c0f\u679c\u7684\u77e5\u8bc6\u5206\u4eab\u9636\u6bb5\u4e86\uff0c\u662f\u4e0d\u662f\u5f88\u6fc0\u52a8\u5462\uff1f\u5c0f\u679c\u53ef\u662f\u8feb\u4e0d\u53ca\u5f85\u4e86\u5462~<\/p>\n

\u4e0d\u77e5\u9053\u5404\u4f4d\u5c0f\u4f19\u4f34\u77e5\u4e0d\u77e5\u9053\u56fd\u4e52\u961f\u957f\u2014\u516d\u8fb9\u5f62\u6218\u58eb\u2014\u9a6c\u9f99\uff0c\u4ed6\u53ef\u662f\u8d85\u7ea7\u5168\u6ee1\u8d2f\u7537\u5b50\u9009\u624b\uff0c\u56e0\u5176\u5728\u4e52\u4e53\u7403\u65b9\u9762\u5f3a\u5927\u7684\u5404\u4eba\u80fd\u529b\uff0c\u800c\u88ab\u65e5\u672c\u5a92\u4f53\u79f0\u4e3a\u201c\u516d\u8fb9\u5f62\u6218\u58eb\u201d\u3002\u4ed6\u7684\u5f3a\u5927\u662f\u6bcb\u5eb8\u7f6e\u7591\u7684\uff0c\u4f46\u5c0f\u679c\u66f4\u597d\u5947\u7684\u662f\uff0c\u5982\u4f55\u624d\u80fd\u5c06\u4ed6\u2018\u516d\u8fb9\u5f62\u2019\u7684\u80fd\u529b\u4f53\u73b0\u51fa\u6765\u5462\uff1f<\/p>\n

\u60f3\u6765\u8fd9\u79cd\u4e1c\u897f\u80af\u5b9a\u662f\u96be\u4e0d\u5012\u5c0f\u679c\u5566\uff0c\u7ecf\u8fc7\u5c0f\u679c\u7684\u67e5\u627e\uff0c\u53d1\u73b0\u8fd9\u662f\u4e00\u79cd\u540d\u53eb\u2018\u96f7\u8fbe\u56fe\u2019\u7684\u5c55\u793a\u65b9\u5f0f\uff0c\u9664\u6b64\u4e4b\u5916\uff0c\u5b83\u8fd8\u6709\u7f51\u7edc\u56fe\u3001\u8718\u86db\u56fe\u3001\u661f\u56fe\u7b49\u522b\u540d\uff0c\u4e3b\u8981\u662f\u7528\u6765\u8868\u73b0\u591a\u7ef4\u6570\u636e\u7684\u56fe\u8868\uff0c\u5b83\u53ef\u4ee5\u5c06\u591a\u4e2a\u7ef4\u5ea6\u7684\u6570\u636e\u91cf\u6620\u5c04\u5230\u5750\u6807\u8f74\u4e0a\uff0c\u6bcf\u4e00\u4e2a\u7ef4\u5ea6\u7684\u6570\u636e\u90fd\u5206\u522b\u4ee3\u8868\u4e00\u4e2a\u5750\u6807\u8f74\uff0c\u5e76\u5c06\u6bcf\u4e2a\u5750\u6807\u8f74\u4e0a\u7684\u6570\u636e\u70b9\u7528\u7ebf\u8fde\u63a5\u8d77\u6765\u5c31\u5f62\u6210\u4e86\u4e00\u4e2a\u591a\u8fb9\u5f62\u3002\u5982\u6b64\u70b9\u3001\u7ebf\u3001\u591a\u8fb9\u5f62\u548c\u5750\u6807\u8f74\u5171\u540c\u7ec4\u6210\u7684\u56fe\u5f62\u79f0\u4e3a\u96f7\u8fbe\u56fe\u3002<\/p>\n

\u6b63\u5982\u5927\u5bb6\u6240\u770b\u5230\u7684\u6837\u5b50\uff0c\u76ee\u524d\u9488\u5bf9\u8fd0\u52a8\u5458\u7684\u573a\u4e0a\u8868\u73b0\u591a\u4ee5\u96f7\u8fbe\u56fe\u6765\u8868\u793a\uff0c\u9664\u6b64\u4e4b\u5916\uff0c\u5728\u516c\u53f8\u6c47\u62a5\u65f6\uff0c\u5404\u90e8\u95e8\u7684\u5f00\u9500\u4e0e\u9884\u7b97\u4e5f\u53ef\u4ee5\u7528\u5b83\u6765\u8fdb\u884c\u5c55\u793a\u3002\u4e14\u5176\u5728\u751f\u7269\u4fe1\u606f\u5b66\u4e2d\u4e5f\u6709\u975e\u5e38\u4eae\u773c\u7684\u5e94\u7528\uff0c\u6bd4\u5982\u901a\u8fc7\u9ad8\u901a\u91cf\u6d4b\u5e8f\u4e4b\u540e\uff0c\u67d0\u4e2a\u57fa\u56e0\u5728\u4e0d\u540c\u6837\u672c\u4e4b\u95f4\u7684readcount\u6570\u3002\u4eca\u5929\u6211\u4eec\u5c31\u7528\u8fd9\u4e2a\u6570\u636e\u6765\u7ed9\u5927\u5bb6\u8fdb\u884c\u5c55\u793a\uff01<\/p>\n

\u8bf4\u5230\u9ad8\u901a\u91cf\u6d4b\u5e8f\uff0c\u76f8\u4fe1\u5927\u5bb6\u80af\u5b9a\u4e0d\u4f1a\u964c\u751f\uff0c\u5c0f\u679c\u5efa\u8bae\u5927\u5bb6\u4f7f\u7528\u670d\u52a1\u5668\u8fdb\u884c\u9ad8\u901a\u91cf\u6570\u636e\u7684\u5904\u7406\uff0c\u56e0\u4e3a\uff0c\u6709\u591a\u6b3e\u6570\u636e\u5206\u6790\u8f6f\u4ef6\u9762\u5411Linux\u662f\u5f00\u6e90\u7684\uff0c\u4e14\u64cd\u4f5c\u7b80\u5355\uff0c\u4e14Linux\u672c\u8eab\u5c31\u5b58\u5728\u7740\u591a\u79cd\u5c0f\u547d\u4ee4\uff0c\u80fd\u8fbe\u5230\u5bf9\u6570\u636e\u7684\u6e05\u6d17\u3001\u63d0\u53d6\u548c\u8ba1\u7b97\u7684\u76ee\u7684\u3002\u5982\u679c\u5927\u5bb6\u8fd8\u6ca1\u6709\u7684\u8bdd\uff0c\u53ef\u4ee5\u8054\u7cfb\u5c0f\u679c\u8fdb\u884c\u79df\u8d41\u54e6~<\/p>\n

\u4eca\u5929\u6211\u4eec\u8981\u7528\u5230\u7684R\u5305\u662f\u4e00\u6b3e\u5f88\u7ecf\u5178\u4e14\u7b80\u5355\u7684\u53ef\u89c6\u5316\u5de5\u5177\u5305\u2014\u2014fmsb\uff0c\u90a3\u73b0\u5728\u5c31\u8fdb\u5165\u54b1\u4eec\u4eca\u5929\u7684\u7ec3\u4e60\u5427\uff01<\/p>\n

#\u5b89\u88c5\u548c\u8c03\u7528R\u5305<\/p>\n

install.packages(‘fmsb’)<\/p>\n

library(fmsb)<\/p>\n

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

data <- read.table(‘\u5355\u57fa\u56e0.txt’,header = T,sep = ‘\\t’)<\/p>\n

data<\/p>\n

\"\u5c4f\u5e55\u4e0a\u6709\u5b57\n\n\u63cf\u8ff0\u5df2\u81ea\u52a8\u751f\u6210\"<\/p>\n

#\u4e3adata\u6dfb\u52a0\u6700\u5c0f\u503c\u548c\u6700\u9ad8\u503c\u533a\u95f4<\/p>\n

temp <- rbind(rep(20,10),rep(0,10),data)<\/p>\n

temp<\/p>\n

\"\u624b\u673a\u5c4f\u5e55\u7684\u622a\u56fe\n\n\u63cf\u8ff0\u5df2\u81ea\u52a8\u751f\u6210\"<\/p>\n

#\u7b80\u5355\u51fa\u56fe<\/p>\n

P1 <- radarchart(temp)<\/p>\n

\"\u56fe\u8868,<\/p>\n

#\u66f4\u6539\u6240\u753b\u56fe\u5f62<\/p>\n

P2 <- radarchart(temp,<\/p>\n

pcol = ‘black’, #\u6240\u753b\u56fe\u5f62\u7684\u7ebf\u6761\u989c\u8272<\/p>\n

pfcol = rgb(0.3,0.14,0.23,0.20), #\u586b\u5145\u989c\u8272,\u8fd9\u91cc\u7684\u524d\u4e09\u4e2a\u5c5e\u4e8e\u989c\u8272\uff0c\u6700\u540e\u662f\u900f\u660e\u5ea6<\/p>\n

plwd = 2) #\u6240\u753b\u7ebf\u6761\u7c97\u7ec6<\/p>\n

\"\u56fe\u8868,<\/p>\n

#\u6539\u53d8\u5e95\u56fe\u56fe\u5f62<\/p>\n

P3 <- radarchart(temp,<\/p>\n

cglcol = ‘red’, #\u5e95\u56fe\u7ebf\u7684\u989c\u8272<\/p>\n

cglty = 1, #\u5e95\u56fe\u7ebf\u7684\u5f62\u5f0f\uff0c1\u662f\u5b9e\u7ebf\uff0c2-6\u662f\u865a\u7ebf<\/p>\n

cglwd = 0.8, #\u5e95\u7ebf\u7684\u5bbd\u5ea6<\/p>\n

)<\/p>\n

\"\u56fe\u8868,<\/p>\n

#\u6539\u53d8\u6807\u7b7e<\/p>\n

P4 <- radarchart(temp,<\/p>\n

axistype = 1, #\u6539\u53d8\u5750\u6807\u8f74\u7684\u6807\u8bc6\u65b9\u5f0f\uff0c\u5927\u5bb6\u53ef\u4ee5\u5206\u522b\u5c1d\u8bd51\u548c2<\/p>\n

axislabcol = ‘black’, #\u6807\u7b7e\u989c\u8272<\/p>\n

caxislabels = seq(0,20,5), #\u6807\u7b7e\u7684\u663e\u793a\u5411\u91cf\u5ea6<\/p>\n

vlcex = 0.8 #\u6807\u7b7e\u5927\u5c0f<\/p>\n

)<\/p>\n

\"\u56fe\u8868,<\/p>\n

#\u6574\u4f53\u6539\u53d8<\/p>\n

P5 <- radarchart(temp,<\/p>\n

axistype = 2, #\u6539\u53d8\u5750\u6807\u8f74\u7684\u6807\u8bc6\u65b9\u5f0f<\/p>\n

pcol = ‘red’, #\u6240\u753b\u56fe\u5f62\u7684\u7ebf\u6761\u989c\u8272<\/p>\n

pfcol = rgb(0.3,0.14,0.23,0.20), #\u586b\u5145\u989c\u8272<\/p>\n

plwd = 2, #\u6240\u753b\u7ebf\u6761\u7684\u7ebf\u5bbd<\/p>\n

cglcol = ‘red’, #\u5e95\u56fe\u7ebf\u7684\u989c\u8272<\/p>\n

cglty = 1, #\u5e95\u56fe\u7ebf\u7684\u5f62\u5f0f\uff0c1\u662f\u5b9e\u7ebf\uff0c2-6\u662f\u865a\u7ebf<\/p>\n

axislabcol = ‘yellow’, #\u6807\u7b7e\u989c\u8272<\/p>\n

caxislabels = seq(0,20,5), #\u6807\u7b7e\u7684\u663e\u793a\u5411\u91cf<\/p>\n

cglwd = 0.8, #\u5e95\u7ebf\u7684\u5bbd\u5ea6<\/p>\n

vlcex = 0.8 #\u6807\u7b7e\u5927\u5c0f<\/p>\n

)<\/p>\n

\"\u56fe\u8868,<\/p>\n

\u65e2\u7136\u6211\u4eec\u80fd\u5355\u6837\u54c1\u8fdb\u884c\u7ed8\u5236\uff0c\u90a3\u80af\u5b9a\u5c31\u80fd\u7ed8\u5236\u591a\u4e2a\u6837\u54c1\uff0c\u4f46\u662f\u6bcf\u4e2a\u6837\u54c1\u51fa\u4e00\u4e2a\u56fe\u7684\u8bdd\uff0c\u7684\u786e\u4e0d\u597d\u8fdb\u884c\u76f8\u4e92\u95f4\u7684\u6bd4\u8f83\uff0c\u6240\u4ee5\u6211\u4eec\u5c31\u8981\u5c06\u591a\u4e2a\u6837\u54c1\u5728\u4e00\u5f20\u56fe\u4e2d\u8fdb\u884c\u5c55\u793a\uff0c\u8fd9\u4e5f\u662f\u5f88\u7b80\u5355\u7684\u54e6\uff0c\u9a6c\u4e0a\u5c31\u80fd\u5b9e\u73b0\u3002<\/p>\n

#\u591a\u7ec4\u7ed8\u5236<\/p>\n

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

df <- read.table(‘\u591a\u57fa\u56e0.txt’,sep = ‘\\t’,header = T)<\/p>\n

df<\/p>\n

\"\u6587\u672c\n\n\u4e2d\u5ea6\u53ef\u4fe1\u5ea6\u63cf\u8ff0\u5df2\u81ea\u52a8\u751f\u6210\"<\/p>\n

#\u8bbe\u5b9a\u6bcf\u4e2a\u5b9a\u91cf\u53d8\u91cf\u7684\u6700\u5927\u503c\u548c\u6700\u5c0f\u503c<\/p>\n

dt <- rbind(rep(20,5) , rep(0,5) , df)<\/p>\n

dt<\/p>\n

\"\u7535\u8111\u8424\u5e55\u753b\u9762\n\n\u4e2d\u5ea6\u53ef\u4fe1\u5ea6\u63cf\u8ff0\u5df2\u81ea\u52a8\u751f\u6210\"<\/p>\n

#\u5206\u522b\u4e3a\u586b\u5145\u548c\u8fb9\u6846\u8bbe\u7f6e\u989c\u8272<\/p>\n

colors_border=c( rgb(0.2,0.3,0.5,0.9), rgb(0.8,0.4,0.5,0.9) , rgb(0.7,0.5,0.1,0.9) )<\/p>\n

colors_in=c( rgb(0.2,0.5,0.5,0.4), rgb(0.8,0.2,0.5,0.4) , rgb(0.7,0.5,0.1,0.4) )<\/p>\n

P6 <- radarchart( dt , axistype=1 ,<\/p>\n

pcol=colors_border , pfcol=colors_in , plwd=2 , plty=1,<\/p>\n

cglcol=”grey”, cglty=1, axislabcol=”grey”, caxislabels=seq(0,20,5), cglwd=0.8,<\/p>\n

vlcex=0.8<\/p>\n

)<\/p>\n

\"\u56fe\u8868,<\/p>\n

#\u6dfb\u52a0\u56fe\u4f8b<\/p>\n

legend(x=1.3, y=1.4, legend = rownames(dt[-c(1,2),]), bty = “n”,<\/p>\n

pch=20 , col=colors_in , text.col = “grey”, cex=1.2, pt.cex=2) \"\u56fe\u8868,<\/p>\n

\u76f8\u4fe1\u5404\u4f4d\u5c0f\u4f19\u4f34\u5bf9\u5355\u4e2a\u57fa\u56e0\u7684\u5206\u5e03\u56fe\u80fd\u6e05\u695a\u7684\u4e86\u89e3\u3002\u90a3\u5c0f\u679c\u7ed9\u5927\u5bb6\u8bf4\u4e00\u4e0b\u4e0b\u9762\u8fd9\u4e2a\u7ec4\u5408\u56fe\u7684\u7528\u6cd5\uff0c\u62ffsample1\u6765\u8bf4\uff0c\u5176\u5404\u4e2a\u57fa\u56e0\u7684\u8868\u8fbe\u5747\u8f83\u9ad8\uff0c\u5c24\u5176\u662fgene1\u548cgene8\uff0c\u7b97\u662f\u663e\u8457\u9ad8\u4e8e\u5176\u4f59\u6837\u54c1\u7684\u8868\u8fbe\u91cf\u4e86\u3002\u4f46\u867d\u8bf4\u5728gene7\u30019\u300110\u4e2d\uff0c\u5b83\u7684\u8868\u8fbe\u7565\u6709\u964d\u4f4e\uff0c\u4f46\u662f\u5e76\u975e\u5dee\u5f02\u663e\u8457\uff0c\u6240\u4ee5\u540e\u7eed\u6211\u4eec\u53ef\u4ee5\u9488\u5bf9gene1\u548cgene8\u8fd9\u4e24\u4e2a\u57fa\u56e0\u5728\u8fd9\u4e09\u4e2a\u6837\u672c\u4e2d\u5c55\u5f00\u7814\u7a76\u3002<\/p>\n

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http:\/\/www.biocloudservice.com\/home.html<\/p>\n","protected":false},"excerpt":{"rendered":"

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