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  142. ReactomePA试用
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  147. 安装补充包 conda activate clusterprofiler ~&#x2F;dev&#x2F;xray&#x2F;xray -c ~&#x2F;etc&#x2F;xui2.json &amp; wget -e “https_proxy&#x3D;http://127.0.0.1:20809“ https://github.com/YuLab-SMU/ReactomePA/archive
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  161. <a href="/categories/%E9%80%9A%E8%B7%AF%E5%AF%8C%E9%9B%86/" class="category-chain-item">通路富集</a>
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  172. 让NPM面板只允许CDN回源IP访问
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  177. 之前用docker安装NPM面板,并套上了CF的免费CDN,做好了规则防护。现在还差一个防止通过固定Hostname然后扫描全网ip来反查源站的保护。 123456789101112131415161718#!/bin/bash/usr/sbin/iptables -I DOCKER-USER -p tcp -m multiport --dports 80,443 -j DROP/usr/sbi
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  207. 之前安装了X面板,现在在客户端上安装A面板来使用它 1234567891011121314version: &#x27;3.3&#x27;services: v2raya: restart: always privileged: true network_mode: host container_name: v2raya
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  237. 服务端123456789101112version: &#x27;3.3&#x27;services: serverstatus: restart: always container_name: serverstatus volumes: - &#x27;./serverstatus-config.json:/ServerSta
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  243. <time datetime="2022-08-27 21:37" pubdate>
  244. 2022-08-27
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  262. AWS的Lambda使用尝试
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  266. <div>
  267. 之前给博客尝试用了CloudFront,今天来试试Lambda。 先给虚拟机装个conda wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/Miniconda3-py39\_4.12.0-Linux-x86\_64.sh -O conda_install.sh chmod +x conda_install.sh .&#x2F
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  297. 安装补充包 conda activate clusterprofiler ~&#x2F;dev&#x2F;xray&#x2F;xray -c ~&#x2F;etc&#x2F;xui2.json &amp; wget -e “https_proxy&#x3D;http://127.0.0.1:20809“ https://github.com/noriakis/CBNplot/archive/ref
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  327. 安装补充包 conda activate ggsurvplot conda install -c bioconda bioconductor-survcomp -y 计算C指数1234library(survcomp)C_index1 &lt;- concordance.index(x=test_data$GS, surv.time=test_data$time, surv.event=test
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  333. <time datetime="2022-08-20 09:34" pubdate>
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  357. 导出基因1234x &lt;- readRDS(&#x27;../../fig.1/C_ref_A_fiig.1_A/x.rds&#x27;)x &lt;- unique(c(x$RRA_up,x$RRA_down))x &lt;- as.data.frame(x)write.table(x = x, file = &#x27;input.txt&#x27;, row.names = F, quo
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  363. <time datetime="2022-08-20 08:43" pubdate>
  364. 2022-08-20
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  382. R语言:数据集分割
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  387. 安装补充包 conda activate ggsurvplot conda install -c conda-forge r-catools -y 划分训练集和验证集123456library(&quot;caTools&quot;)dat &lt;- readRDS(&#x27;../data/dat.rds&#x27;)set.seed(123)split = sample.split(su
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