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        <a href="/cong-cha-yi-ji-yin-dao-RRA-ju-he" target="_self">
          【迁移】从差异基因到RRA聚合
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      <a class="index-excerpt " href="/cong-cha-yi-ji-yin-dao-RRA-ju-he" target="_self">
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          通过比对，我们得到了counts矩阵，接下来可以进行DEGs分析。此时如果我们有多组之间的对比，则可以使用RRA算法来聚合我们的结果。 RRA的安装 1234567891011121314151617181920conda create -n tcga -c conda-forge r-base=4.1.2 -yconda activate tcgaconda install -c conda-f
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              2022-07-22
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              <a href="/tags/DEGs/">#DEGs</a>
            
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          【迁移】森林图展示回归分析的结果
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          配置环境  基础编程环境 GitHub 下载加速 可能需要用到的加速服务  1234conda create -n forestplot -c conda-forge r-forestplot -yconda activate forestplotconda install -c conda-forge r-tidyverse r-irkernel -yRscript -e &quot;IRker
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              2022-07-15
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              <a href="/tags/forestplot/">#forestplot</a>
            
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          【迁移】树莓派：Rclone+aria2做Onedrive离线下载机
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          Rclone使用自建应用挂上了Ondrive，接下来就该配置aria2+自动上传脚本了。 安装aira2 12345678910111213141516171819202122232425262728293031323334version: &quot;3.8&quot;services:  Aria2-Pro:    container_name: aria2-pro    image: p3t
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              2022-07-13
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              <a href="/tags/raspberrypi/">#raspberrypi</a>
            
              <a href="/tags/rclone/">#rclone</a>
            
              <a href="/tags/aria2/">#aria2</a>
            
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          <img src="https://api.limour.top/randomImg?d=2022-07-05 17:28:03" srcset="https://jscdn.limour.top/gh/Limour-dev/Sakurairo_Vision/load_svg/inload.svg" lazyload alt="【迁移】时空图：以天狼星单程旅行为例">
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        <a href="/-qian-yi--shi-kong-tu--yi-tian-lang-xing-dan-cheng-l-xing-wei-li" target="_self">
          【迁移】时空图：以天狼星单程旅行为例
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          最近看《从一到无穷大》，对里面的闵氏时空图很感兴趣，恰好里面有去天狼星的例子，因此想用时空图画画看。为简化问题，这里取天狼星到地球的距离为9光年，实际约为8.6光年。同时为了便于画图，纵轴时间轴以年×光速为单位，横轴空间轴以光年为单位。使用 geogebra 进行绘图。 出发前的时空图  如图1所示，线段g（CAD）表示飞船，A点为质心。直线f表示天狼星B的世界线。射线h（AE）表示A的光锥。射线
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              2022-07-05
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              <a href="/tags/%E6%97%B6%E7%A9%BA%E5%9B%BE/">#时空图</a>
            
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          【迁移】STAR：一键脚本
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          2023-09-27更新：添加了转录本计数相关内容            一些依赖 安装 biobambam  项目地址：https://gitlab.com/german.tischler/biobambam2  1conda create -n biobambam -c bioconda biobambam -y 安装 star 1234conda create -
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            <time datetime="2022-07-02 18:17" pubdate>
              2022-07-02
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          <img src="https://api.limour.top/randomImg?d=2022-02-22 13:35:24" srcset="https://jscdn.limour.top/gh/Limour-dev/Sakurairo_Vision/load_svg/inload.svg" lazyload alt="【迁移】CellTypist 注释免疫细胞亚群">
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          【迁移】CellTypist 注释免疫细胞亚群
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      <a class="index-excerpt " href="/-qian-yi-CellTypist-zhu-shi-mian-yi-xi-bao-ya-qun" target="_self">
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          安装CellTypist并配置环境，加载所需的包，加载数据，将Seurat对象转换为scanpy对象，对每个细胞进行观察，对基因矩阵进行注释，组装AnnData对象，进行预测，并将预测结果添加到Seurat对象中。
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              2022-02-22
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              <a href="/tags/celltypist/">#celltypist</a>
            
              <a href="/tags/%E7%94%9F%E4%BF%A1/">#生信</a>
            
              <a href="/tags/%E5%88%86%E7%BE%A4/">#分群</a>
            
              <a href="/tags/%E6%B3%A8%E9%87%8A/">#注释</a>
            
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          【迁移】二代测序数据处理之数据格式说明
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          FASTA(.fa) 储存参考数据集 从零开始完整学习全基因组测序（WGS）数据分析：第2节 FASTA和FASTQ  基本单元 序列所表示的基因名：&gt;ENSMUSG00000020122ENSMUST00000138518，后可接空格表示注释前缀 具体序列信息：CCCTCCTATCATGC……GGGCCCACCTGTTCTCTGGT 基因名独占一行，序列信息为基因名后一行至下一个 &gt;
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              2022-01-17
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              <a href="/tags/NGS/">#NGS</a>
            
              <a href="/tags/fasta/">#fasta</a>
            
              <a href="/tags/fastq/">#fastq</a>
            
              <a href="/tags/gft/">#gft</a>
            
              <a href="/tags/bam/">#bam</a>
            
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          <img src="https://api.limour.top/randomImg?d=2024-01-19 22:41:03" srcset="https://jscdn.limour.top/gh/Limour-dev/Sakurairo_Vision/load_svg/inload.svg" lazyload alt="【探索】利用后缀表达式解方程">
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          【探索】利用后缀表达式解方程
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      <a class="index-excerpt " href="/Solving-equations-using-postfix-notation" target="_self">
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          这段Python代码实现了使用后缀表达式解方程的功能。它包括了一个栈类（Stack）和一个多项式类（Polynomial）。通过中缀表达式转后缀表达式的方式处理方程，最终实现了解一元一次方程的功能。代码包含了多个方法，如多项式的加法、减法、乘法、除法等操作。在解方程时，它先进行表达式的简化和转换，然后输出方程的解或者判断方程是否是一元一次方程。
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              2020-12-12
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              <a href="/tags/%E6%8E%A2%E7%B4%A2/">#探索</a>
            
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