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  <link href="https://vincere.fun/"/>
  <updated>2026-01-30T11:58:26.697Z</updated>
  <id>https://vincere.fun/</id>
  
  <author>
    <name>Vincere Zhou</name>
    
  </author>
  
  <generator uri="https://hexo.io/">Hexo</generator>
  
  <entry>
    <title>asreml分析阈值性状笔记</title>
    <link href="https://vincere.fun/posts/2c1f0d50/"/>
    <id>https://vincere.fun/posts/2c1f0d50/</id>
    <published>2026-01-30T11:56:40.000Z</published>
    <updated>2026-01-30T11:58:26.697Z</updated>
    
    
    <summary type="html">&lt;p&gt;asreml 分析阈值性状笔记。&lt;/p&gt;</summary>
    
    
    
    <category term="数据分析" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    
    <category term="数据分析" scheme="https://vincere.fun/tags/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
  </entry>
  
  <entry>
    <title>深度学习入门_基于Python的理论与实现</title>
    <link href="https://vincere.fun/posts/d2e41a48/"/>
    <id>https://vincere.fun/posts/d2e41a48/</id>
    <published>2025-12-29T09:05:04.000Z</published>
    <updated>2025-12-29T09:10:45.096Z</updated>
    
    
    <summary type="html">&lt;p&gt;《深度学习入门_基于Python的理论与实现》&lt;/p&gt;</summary>
    
    
    
    <category term="深度学习" scheme="https://vincere.fun/categories/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/"/>
    
    
    <category term="深度学习" scheme="https://vincere.fun/tags/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/"/>
    
  </entry>
  
  <entry>
    <title>使用blupf90进行ssgwas分析</title>
    <link href="https://vincere.fun/posts/4edebbb0/"/>
    <id>https://vincere.fun/posts/4edebbb0/</id>
    <published>2025-12-29T08:55:03.000Z</published>
    <updated>2025-12-29T08:59:07.832Z</updated>
    
    
    <summary type="html">&lt;p&gt;使用 blupf90 进行 ssgwas 分析。&lt;/p&gt;</summary>
    
    
    
    <category term="数据分析" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    <category term="blupf90" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/blupf90/"/>
    
    
    <category term="数据分析" scheme="https://vincere.fun/tags/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    <category term="blupf90" scheme="https://vincere.fun/tags/blupf90/"/>
    
  </entry>
  
  <entry>
    <title>Cervus亲子鉴定计算方法</title>
    <link href="https://vincere.fun/posts/de1a03d/"/>
    <id>https://vincere.fun/posts/de1a03d/</id>
    <published>2025-12-29T08:52:27.000Z</published>
    <updated>2025-12-29T08:59:07.829Z</updated>
    
    
    <summary type="html">&lt;p&gt;Cervus亲子鉴定计算方法，主要是公式。&lt;/p&gt;</summary>
    
    
    
    <category term="数据分析" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    
    <category term="数据分析" scheme="https://vincere.fun/tags/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
  </entry>
  
  <entry>
    <title>软件学习-DMU</title>
    <link href="https://vincere.fun/posts/29c9bc50/"/>
    <id>https://vincere.fun/posts/29c9bc50/</id>
    <published>2025-12-29T08:40:56.000Z</published>
    <updated>2025-12-29T08:43:34.345Z</updated>
    
    
    <summary type="html">&lt;p&gt;DMU软件使用方法。&lt;/p&gt;</summary>
    
    
    
    <category term="数据分析" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    
    <category term="数据分析" scheme="https://vincere.fun/tags/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
  </entry>
  
  <entry>
    <title>使用blupf90运行测定日模型</title>
    <link href="https://vincere.fun/posts/868d13f0/"/>
    <id>https://vincere.fun/posts/868d13f0/</id>
    <published>2025-12-29T08:37:25.000Z</published>
    <updated>2025-12-29T08:43:34.338Z</updated>
    
    
    <summary type="html">&lt;p&gt;使用blupf90运行测定日模型&lt;/p&gt;</summary>
    
    
    
    <category term="数据分析" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    <category term="blupf90" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/blupf90/"/>
    
    
    <category term="数据分析" scheme="https://vincere.fun/tags/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    <category term="blupf90" scheme="https://vincere.fun/tags/blupf90/"/>
    
  </entry>
  
  <entry>
    <title>使用blupf90运行阈值模型</title>
    <link href="https://vincere.fun/posts/33cf95d2/"/>
    <id>https://vincere.fun/posts/33cf95d2/</id>
    <published>2025-12-29T08:33:52.000Z</published>
    <updated>2025-12-29T08:43:34.343Z</updated>
    
    
    <summary type="html">&lt;p&gt;使用blupf90运行阈值模型&lt;/p&gt;</summary>
    
    
    
    <category term="数据分析" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    <category term="blupf90" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/blupf90/"/>
    
    
    <category term="数据分析" scheme="https://vincere.fun/tags/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    <category term="blupf90" scheme="https://vincere.fun/tags/blupf90/"/>
    
  </entry>
  
  <entry>
    <title>软件学习-GCTB</title>
    <link href="https://vincere.fun/posts/20a2e4dc/"/>
    <id>https://vincere.fun/posts/20a2e4dc/</id>
    <published>2025-12-29T08:30:27.000Z</published>
    <updated>2025-12-29T08:43:34.341Z</updated>
    
    
    <summary type="html">&lt;p&gt;GCTB 是用于分析众多贝叶斯方法的软件。&lt;/p&gt;</summary>
    
    
    
    <category term="数据分析" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    
    <category term="数据分析" scheme="https://vincere.fun/tags/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
  </entry>
  
  <entry>
    <title>使用vcftools计算FST</title>
    <link href="https://vincere.fun/posts/a73c5bf4/"/>
    <id>https://vincere.fun/posts/a73c5bf4/</id>
    <published>2025-12-29T07:48:19.000Z</published>
    <updated>2025-12-29T08:00:12.795Z</updated>
    
    
    <summary type="html">&lt;p&gt;vcftools可以计算群体间&lt;strong&gt;固定指数（Fst）&lt;/strong&gt;， 来筛选和优先处理遗传标记（如SNP）。下面内容主要来自于 deepseek 。&lt;/p&gt;</summary>
    
    
    
    <category term="数据分析" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    
    <category term="数据分析" scheme="https://vincere.fun/tags/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
  </entry>
  
  <entry>
    <title>python进阶-类</title>
    <link href="https://vincere.fun/posts/dab46aae/"/>
    <id>https://vincere.fun/posts/dab46aae/</id>
    <published>2025-12-29T07:42:41.000Z</published>
    <updated>2025-12-29T08:00:12.790Z</updated>
    
    
    <summary type="html">&lt;p&gt;python 类的简单使用方法。&lt;/p&gt;</summary>
    
    
    
    <category term="数据分析" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    <category term="python" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/python/"/>
    
    
    <category term="数据分析" scheme="https://vincere.fun/tags/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    <category term="python" scheme="https://vincere.fun/tags/python/"/>
    
  </entry>
  
  <entry>
    <title>GS方法_GFBLUP</title>
    <link href="https://vincere.fun/posts/ac27f7c7/"/>
    <id>https://vincere.fun/posts/ac27f7c7/</id>
    <published>2025-12-29T07:23:13.000Z</published>
    <updated>2025-12-29T07:26:15.699Z</updated>
    
    
    <summary type="html">&lt;p&gt;GFBLUP 也是 GBLUP 模型的一个变体，这里将加性效应拆分为了两个部分。&lt;/p&gt;</summary>
    
    
    
    <category term="数据分析" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    
    <category term="数据分析" scheme="https://vincere.fun/tags/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
  </entry>
  
  <entry>
    <title>GS方法_TABLUP</title>
    <link href="https://vincere.fun/posts/9b455be2/"/>
    <id>https://vincere.fun/posts/9b455be2/</id>
    <published>2025-12-29T07:19:14.000Z</published>
    <updated>2025-12-29T07:26:15.701Z</updated>
    
    
    <summary type="html">&lt;p&gt;TABLUP 就是构建G阵时使用SNP权重的算法。&lt;/p&gt;</summary>
    
    
    
    <category term="数据分析" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    
    <category term="数据分析" scheme="https://vincere.fun/tags/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
  </entry>
  
  <entry>
    <title>GS方法_BLUPGA</title>
    <link href="https://vincere.fun/posts/7cec1bc6/"/>
    <id>https://vincere.fun/posts/7cec1bc6/</id>
    <published>2025-12-29T07:16:08.000Z</published>
    <updated>2025-12-29T07:26:15.696Z</updated>
    
    
    <summary type="html">&lt;p&gt;BLUPGA 是一种GBLUP模型的变体，主要是修改了 G 阵。&lt;/p&gt;</summary>
    
    
    
    <category term="数据分析" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    
    <category term="数据分析" scheme="https://vincere.fun/tags/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
  </entry>
  
  <entry>
    <title>软件学习-HIBLUP</title>
    <link href="https://vincere.fun/posts/a39ee9f7/"/>
    <id>https://vincere.fun/posts/a39ee9f7/</id>
    <published>2025-12-29T07:04:45.000Z</published>
    <updated>2025-12-29T07:26:01.591Z</updated>
    
    
    <summary type="html">&lt;p&gt;HIBLUP 是一个育种分析软件。&lt;/p&gt;</summary>
    
    
    
    <category term="数据分析" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    
    <category term="数据分析" scheme="https://vincere.fun/tags/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
  </entry>
  
  <entry>
    <title>软件学习-GLIMPSE2</title>
    <link href="https://vincere.fun/posts/6f0cdc14/"/>
    <id>https://vincere.fun/posts/6f0cdc14/</id>
    <published>2025-12-29T07:01:22.000Z</published>
    <updated>2025-12-29T07:26:01.595Z</updated>
    
    
    <summary type="html">&lt;p&gt;GLIMPSE2 是一个有参的低深度重测序填充软件。&lt;/p&gt;</summary>
    
    
    
    <category term="数据分析" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    
    <category term="数据分析" scheme="https://vincere.fun/tags/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
  </entry>
  
  <entry>
    <title>blupf90报错整理</title>
    <link href="https://vincere.fun/posts/bb07e51e/"/>
    <id>https://vincere.fun/posts/bb07e51e/</id>
    <published>2025-12-29T03:31:34.000Z</published>
    <updated>2025-12-29T07:06:17.180Z</updated>
    
    
    <summary type="html">&lt;p&gt;整理使用 blupf90 过程中的报错信息。&lt;/p&gt;</summary>
    
    
    
    <category term="数据分析" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    
    <category term="数据分析" scheme="https://vincere.fun/tags/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
  </entry>
  
  <entry>
    <title>R包-tidyverse</title>
    <link href="https://vincere.fun/posts/585a0545/"/>
    <id>https://vincere.fun/posts/585a0545/</id>
    <published>2025-12-29T03:27:45.000Z</published>
    <updated>2025-12-29T07:06:17.198Z</updated>
    
    
    <summary type="html">&lt;p&gt;主要基于《数据科学中的R语言》的学习笔记。&lt;/p&gt;</summary>
    
    
    
    <category term="数据分析" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    <category term="R" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/R/"/>
    
    
    <category term="数据分析" scheme="https://vincere.fun/tags/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    <category term="R" scheme="https://vincere.fun/tags/R/"/>
    
  </entry>
  
  <entry>
    <title>软件学习-STITCH</title>
    <link href="https://vincere.fun/posts/983f10d4/"/>
    <id>https://vincere.fun/posts/983f10d4/</id>
    <published>2025-12-29T03:04:53.000Z</published>
    <updated>2025-12-29T03:33:08.616Z</updated>
    
    
    <summary type="html">&lt;p&gt;STITCH 是低深度重测序填充的软件。&lt;/p&gt;</summary>
    
    
    
    <category term="数据分析" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    
    <category term="数据分析" scheme="https://vincere.fun/tags/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
  </entry>
  
  <entry>
    <title>shell多进程并行计算代码</title>
    <link href="https://vincere.fun/posts/9cc5d19c/"/>
    <id>https://vincere.fun/posts/9cc5d19c/</id>
    <published>2025-12-29T03:00:30.000Z</published>
    <updated>2025-12-29T03:33:08.617Z</updated>
    
    
    <summary type="html">&lt;p&gt;shell 本身没有多线程的做法，但是通过 &lt;code&gt;&amp;amp;&lt;/code&gt; 号将命令放到后台运算从而实现并行计算。&lt;/p&gt;</summary>
    
    
    
    <category term="数据分析" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    
    <category term="数据分析" scheme="https://vincere.fun/tags/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
  </entry>
  
  <entry>
    <title>R包-ggplot2</title>
    <link href="https://vincere.fun/posts/5cb25283/"/>
    <id>https://vincere.fun/posts/5cb25283/</id>
    <published>2025-12-29T02:24:59.000Z</published>
    <updated>2025-12-29T02:27:27.275Z</updated>
    
    
    <summary type="html">&lt;p&gt;主要基于《数据科学中的R语言》的学习笔记。&lt;/p&gt;</summary>
    
    
    
    <category term="数据分析" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    <category term="R" scheme="https://vincere.fun/categories/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/R/"/>
    
    
    <category term="数据分析" scheme="https://vincere.fun/tags/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90/"/>
    
    <category term="R" scheme="https://vincere.fun/tags/R/"/>
    
  </entry>
  
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