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- <h1 id="seo-header">【迁移】oligo:GEO/ArrayExpress芯片数据处理</h1>
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- Last updated on March 19, 2024 pm
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- <h2 id="安装依赖">安装依赖</h2>
- <figure class="highlight bash"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br></pre></td><td class="code"><pre><span class="line">conda clean -y -all</span><br><span class="line">conda create -n geo -c conda-forge r-base=4.1.3</span><br><span class="line">conda activate geo</span><br><span class="line">conda install -c conda-forge r-tidyverse=1.3.1 -y</span><br><span class="line">conda install -c conda-forge r-irkernel -y</span><br><span class="line">conda install -c conda-forge r-r.utils -y</span><br><span class="line">conda install -c conda-forge r-rcolorbrewer -y</span><br><span class="line">Rscript -e <span class="string">"IRkernel::installspec(name='geo', displayname='r-geo')"</span></span><br><span class="line">conda install -c bioconda bioconductor-geoquery -y</span><br><span class="line">conda install -c bioconda bioconductor-oligo -y</span><br><span class="line">conda install -c bioconda bioconductor-affy -y</span><br><span class="line">conda install -c bioconda bioconductor-pd.hugene.1.0.st.v1 -y <span class="comment"># read.celfiles 需要啥安装啥</span></span><br><span class="line">conda install -c bioconda bioconductor-pd.hg.u133a.2 -y</span><br><span class="line">conda install -c bioconda bioconductor-arrayexpress -y</span><br><span class="line">conda install -c bioconda bioconductor-biomart -y</span><br><span class="line">conda install -c bioconda bioconductor-affycoretools -y</span><br></pre></td></tr></table></figure>
- <h2 id="下载芯片数据">下载芯片数据</h2>
- <h3 id="GEO">GEO</h3>
- <figure class="highlight r"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br></pre></td><td class="code"><pre><span class="line">library<span class="punctuation">(</span>GEOquery<span class="punctuation">)</span></span><br><span class="line">library<span class="punctuation">(</span>oligo<span class="punctuation">)</span></span><br><span class="line">library<span class="punctuation">(</span>affy<span class="punctuation">)</span></span><br><span class="line">gse<span class="operator">=</span><span class="string">"GSE43332"</span></span><br><span class="line">rawdata <span class="operator"><-</span> getGEOSuppFiles<span class="punctuation">(</span>gse<span class="punctuation">)</span> <span class="comment">#下载原始数据</span></span><br><span class="line">rawdata</span><br><span class="line">setwd<span class="punctuation">(</span>gse<span class="punctuation">)</span></span><br><span class="line">untar<span class="punctuation">(</span><span class="string">"GSE43332_RAW.tar"</span><span class="punctuation">,</span>exdir <span class="operator">=</span> <span class="string">"."</span><span class="punctuation">)</span></span><br><span class="line">celfiles <span class="operator"><-</span> list.files<span class="punctuation">(</span>pattern <span class="operator">=</span> <span class="string">"*CEL.gz$"</span><span class="punctuation">)</span> <span class="comment">#批量查找并列出后缀为.gz的文件</span></span><br><span class="line">data.raw <span class="operator"><-</span> read.celfiles<span class="punctuation">(</span>celfiles<span class="punctuation">)</span></span><br></pre></td></tr></table></figure>
- <h3 id="ArrayExpress">ArrayExpress</h3>
- <ul>
- <li>~/dev/xray/xray -c ~/etc/xui2.json &</li>
- <li>wget -e “https_proxy=<a target="_blank" rel="noopener" href="http://127.0.0.1:20809">http://127.0.0.1:20809</a>” <a target="_blank" rel="noopener" href="https://www.ebi.ac.uk/arrayexpress/files/E-MEXP-1422/E-MEXP-1422.raw.1.zip">https://www.ebi.ac.uk/arrayexpress/files/E-MEXP-1422/E-MEXP-1422.raw.1.zip</a> -O E-MEXP-1422.raw.1.zip</li>
- <li>unzip E-MEXP-1422.raw.1.zip</li>
- </ul>
- <figure class="highlight r"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br></pre></td><td class="code"><pre><span class="line">library<span class="punctuation">(</span>ArrayExpress<span class="punctuation">)</span></span><br><span class="line">library<span class="punctuation">(</span>oligo<span class="punctuation">)</span></span><br><span class="line">library<span class="punctuation">(</span>affy<span class="punctuation">)</span></span><br><span class="line"><span class="comment"># Sys.setenv("http_proxy"="http://127.0.0.1:20809")</span></span><br><span class="line"><span class="comment"># Sys.setenv("https_proxy"="http://127.0.0.1:20809")</span></span><br><span class="line"><span class="comment"># mexp1422=getAE("E-MTAB-6128", type = 'raw', extract = T)</span></span><br><span class="line">celfiles <span class="operator"><-</span> list.files<span class="punctuation">(</span>pattern <span class="operator">=</span> <span class="string">"*.CEL$"</span><span class="punctuation">)</span> <span class="comment">#批量查找并列出后缀为CEL的文件</span></span><br><span class="line">data.raw <span class="operator"><-</span> read.celfiles<span class="punctuation">(</span>celfiles<span class="punctuation">)</span></span><br></pre></td></tr></table></figure>
- <h2 id="RMA标准化数据">RMA标准化数据</h2>
- <figure class="highlight r"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br></pre></td><td class="code"><pre><span class="line">sampleNames<span class="punctuation">(</span>data.raw<span class="punctuation">)</span> <span class="operator"><-</span> sapply<span class="punctuation">(</span>strsplit<span class="punctuation">(</span>sampleNames<span class="punctuation">(</span>data.raw<span class="punctuation">)</span><span class="punctuation">,</span><span class="string">"_"</span><span class="punctuation">,</span>fixed<span class="operator">=</span><span class="built_in">T</span><span class="punctuation">)</span><span class="punctuation">,</span> <span class="string">"["</span><span class="punctuation">,</span><span class="number">1</span><span class="punctuation">)</span></span><br><span class="line">sampleNames<span class="punctuation">(</span>data.raw<span class="punctuation">)</span></span><br><span class="line"> </span><br><span class="line">fit1 <span class="operator"><-</span> fitProbeLevelModel<span class="punctuation">(</span>data.raw<span class="punctuation">)</span></span><br><span class="line"> </span><br><span class="line">image<span class="punctuation">(</span>fit1<span class="punctuation">,</span>type<span class="operator">=</span><span class="string">"weights"</span><span class="punctuation">,</span>which<span class="operator">=</span><span class="number">1</span><span class="punctuation">,</span>main<span class="operator">=</span><span class="string">"weights"</span><span class="punctuation">)</span></span><br><span class="line">image<span class="punctuation">(</span>fit1<span class="punctuation">,</span>type<span class="operator">=</span><span class="string">"residuals"</span><span class="punctuation">,</span>which<span class="operator">=</span><span class="number">1</span><span class="punctuation">,</span>main<span class="operator">=</span><span class="string">"Residuals"</span><span class="punctuation">)</span></span><br><span class="line">image<span class="punctuation">(</span>fit1<span class="punctuation">,</span>type<span class="operator">=</span><span class="string">"sign.residuals"</span><span class="punctuation">,</span>which<span class="operator">=</span><span class="number">1</span><span class="punctuation">,</span>main<span class="operator">=</span><span class="string">"Residuals.sign"</span><span class="punctuation">)</span></span><br><span class="line"> </span><br><span class="line">data.eset <span class="operator"><-</span> oligo<span class="operator">::</span>rma<span class="punctuation">(</span>data.raw<span class="punctuation">)</span></span><br><span class="line">data.exprs <span class="operator"><-</span> exprs<span class="punctuation">(</span>data.eset<span class="punctuation">)</span></span><br><span class="line"> </span><br><span class="line">library<span class="punctuation">(</span>RColorBrewer<span class="punctuation">)</span></span><br><span class="line">display.brewer.all<span class="punctuation">(</span><span class="punctuation">)</span></span><br><span class="line"><span class="keyword">if</span><span class="punctuation">(</span>ncol<span class="punctuation">(</span>data.eset<span class="punctuation">)</span><span class="operator">></span><span class="number">8</span><span class="punctuation">)</span><span class="punctuation">{</span></span><br><span class="line"> colors <span class="operator"><-</span> <span class="built_in">c</span><span class="punctuation">(</span>brewer.pal<span class="punctuation">(</span><span class="number">8</span><span class="punctuation">,</span><span class="string">"Set2"</span><span class="punctuation">)</span><span class="punctuation">,</span>brewer.pal<span class="punctuation">(</span>ncol<span class="punctuation">(</span>data.eset<span class="punctuation">)</span><span class="operator">-</span><span class="number">8</span><span class="punctuation">,</span><span class="string">"Set1"</span><span class="punctuation">)</span><span class="punctuation">)</span></span><br><span class="line"><span class="punctuation">}</span><span class="keyword">else</span><span class="punctuation">{</span></span><br><span class="line"> colors <span class="operator"><-</span> brewer.pal<span class="punctuation">(</span>ncol<span class="punctuation">(</span>data.eset<span class="punctuation">)</span><span class="punctuation">,</span><span class="string">"Set2"</span><span class="punctuation">)</span></span><br><span class="line"><span class="punctuation">}</span></span><br><span class="line">boxplot<span class="punctuation">(</span>data.exprs<span class="punctuation">,</span>col<span class="operator">=</span>colors<span class="punctuation">,</span>main<span class="operator">=</span><span class="string">"afterRMA"</span><span class="punctuation">)</span></span><br></pre></td></tr></table></figure>
- <h2 id="探针转Symbol">探针转Symbol</h2>
- <h3 id="使用IQR方法进行重复值的选择">使用IQR方法进行重复值的选择</h3>
- <p>使用 rownames(df) <- rowNn 时经常会遇到rowNn中有重复值的情况,此时需要使用合适的策略来选择需要保留的那一列。下面这个函数默认保留IQR值(四分位距)最大的那一列。通过传入不同的select_func参数值,也可以改用其他的保留选择策略。如 mean 来保留算数平均值最大的一列,也可以传入自己定义的函数。</p>
- <figure class="highlight r"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br><span class="line">31</span><br><span class="line">32</span><br><span class="line">33</span><br></pre></td><td class="code"><pre><span class="line">f_rm_duplicated <span class="operator"><-</span> <span class="keyword">function</span><span class="punctuation">(</span>NameL<span class="punctuation">,</span> reverse<span class="operator">=</span><span class="built_in">F</span><span class="punctuation">)</span><span class="punctuation">{</span></span><br><span class="line"> tmp <span class="operator"><-</span> data.frame<span class="punctuation">(</span>table<span class="punctuation">(</span>NameL<span class="punctuation">)</span><span class="punctuation">)</span></span><br><span class="line"> <span class="keyword">if</span><span class="punctuation">(</span>reverse<span class="punctuation">)</span><span class="punctuation">{</span></span><br><span class="line"> tmp <span class="operator"><-</span> tmp<span class="operator">$</span>NameL<span class="punctuation">[</span>tmp<span class="operator">$</span>Freq <span class="operator">></span> <span class="number">1</span><span class="punctuation">]</span></span><br><span class="line"> <span class="punctuation">}</span><span class="keyword">else</span><span class="punctuation">{</span></span><br><span class="line"> tmp <span class="operator"><-</span> tmp<span class="operator">$</span>NameL<span class="punctuation">[</span>tmp<span class="operator">$</span>Freq <span class="operator">==</span> <span class="number">1</span><span class="punctuation">]</span></span><br><span class="line"> <span class="punctuation">}</span></span><br><span class="line"> which<span class="punctuation">(</span>NameL <span class="operator">%in%</span> <span class="built_in">as.character</span><span class="punctuation">(</span>tmp<span class="punctuation">)</span><span class="punctuation">)</span></span><br><span class="line"><span class="punctuation">}</span></span><br><span class="line">f_dedup_IQR <span class="operator"><-</span> <span class="keyword">function</span><span class="punctuation">(</span>df<span class="punctuation">,</span> rowNn<span class="punctuation">,</span> select_func<span class="operator">=</span><span class="string">'IQR'</span><span class="punctuation">)</span><span class="punctuation">{</span></span><br><span class="line"> <span class="keyword">if</span><span class="punctuation">(</span>typeof<span class="punctuation">(</span>select_func<span class="punctuation">)</span> <span class="operator">==</span> <span class="string">'character'</span><span class="punctuation">)</span><span class="punctuation">{</span></span><br><span class="line"> select_func <span class="operator">=</span> get<span class="punctuation">(</span>select_func<span class="punctuation">)</span></span><br><span class="line"> <span class="punctuation">}</span></span><br><span class="line"> <span class="comment"># 拆出无重复的数据,后续不进行处理</span></span><br><span class="line"> noDup <span class="operator"><-</span> f_rm_duplicated<span class="punctuation">(</span>rowNn<span class="punctuation">)</span></span><br><span class="line"> tmp <span class="operator"><-</span> rowNn<span class="punctuation">[</span>noDup<span class="punctuation">]</span></span><br><span class="line"> noDup <span class="operator"><-</span> df<span class="punctuation">[</span>noDup<span class="punctuation">,</span><span class="punctuation">]</span></span><br><span class="line"> rownames<span class="punctuation">(</span>noDup<span class="punctuation">)</span> <span class="operator"><-</span> tmp</span><br><span class="line"> <span class="comment"># 拆除有重复的数据</span></span><br><span class="line"> Dup <span class="operator"><-</span> f_rm_duplicated<span class="punctuation">(</span>rowNn<span class="punctuation">,</span> <span class="built_in">T</span><span class="punctuation">)</span></span><br><span class="line"> rowNn <span class="operator"><-</span> rowNn<span class="punctuation">[</span>Dup<span class="punctuation">]</span></span><br><span class="line"> Dup <span class="operator"><-</span> df<span class="punctuation">[</span>Dup<span class="punctuation">,</span><span class="punctuation">]</span></span><br><span class="line"> rownames<span class="punctuation">(</span>Dup<span class="punctuation">)</span> <span class="operator"><-</span> <span class="literal">NULL</span></span><br><span class="line"> <span class="comment"># 处理重复的数据</span></span><br><span class="line"> lc_tmp <span class="operator">=</span> by<span class="punctuation">(</span>Dup<span class="punctuation">,</span></span><br><span class="line"> rowNn<span class="punctuation">,</span></span><br><span class="line"> <span class="keyword">function</span><span class="punctuation">(</span>x<span class="punctuation">)</span><span class="punctuation">{</span>rownames<span class="punctuation">(</span>x<span class="punctuation">)</span><span class="punctuation">[</span>which.max<span class="punctuation">(</span>apply<span class="punctuation">(</span>X <span class="operator">=</span> x<span class="punctuation">,</span> FUN <span class="operator">=</span> select_func<span class="punctuation">,</span> MARGIN <span class="operator">=</span> <span class="number">1</span><span class="punctuation">)</span><span class="punctuation">)</span><span class="punctuation">]</span><span class="punctuation">}</span><span class="punctuation">)</span></span><br><span class="line"> lc_probes <span class="operator">=</span> <span class="built_in">as.integer</span><span class="punctuation">(</span>lc_tmp<span class="punctuation">)</span></span><br><span class="line"> Dup <span class="operator">=</span> Dup<span class="punctuation">[</span>lc_probes<span class="punctuation">,</span><span class="punctuation">]</span></span><br><span class="line"> rownames<span class="punctuation">(</span>Dup<span class="punctuation">)</span> <span class="operator"><-</span> rowNn<span class="punctuation">[</span>lc_probes<span class="punctuation">]</span></span><br><span class="line"> <span class="comment"># 合并数据并返回</span></span><br><span class="line"> <span class="built_in">return</span><span class="punctuation">(</span>rbind<span class="punctuation">(</span>noDup<span class="punctuation">,</span>Dup<span class="punctuation">)</span><span class="punctuation">)</span></span><br><span class="line"><span class="punctuation">}</span></span><br></pre></td></tr></table></figure>
- <h3 id="探针转Symbol-2">探针转Symbol</h3>
- <ul>
- <li>data.raw@annotation 可以得到注释的包信息,如pd.hg.u133a.2</li>
- <li>在<a target="_blank" rel="noopener" href="https://www.bioconductor.org/">bioconductor</a>上搜索pd.hg.u133a.2,可以知道其Platform为HG-U133A_2</li>
- <li>谷歌搜索 HG-U133A_2 + affymetrix,可以找到affymetrix官网对应的页面</li>
- <li>谷歌搜索 affymetrix “HG-U133A_2” site:www.ncbi.nlm.nih.gov,随便进一个GSE页面,找到对应的Platforms,如 GPL571 [HG-U133A_2] Affymetrix Human Genome U133A 2.0 Array,说明HG-U133A_2对应GPL571</li>
- </ul>
- <figure class="highlight r"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br></pre></td><td class="code"><pre><span class="line">require<span class="punctuation">(</span>GEOquery<span class="punctuation">)</span></span><br><span class="line">f_getGPL <span class="operator"><-</span> <span class="keyword">function</span><span class="punctuation">(</span>lc_GPLN<span class="punctuation">,</span> lc_local <span class="operator">=</span> <span class="built_in">F</span><span class="punctuation">)</span><span class="punctuation">{</span></span><br><span class="line"> options<span class="punctuation">(</span>stringsAsFactors <span class="operator">=</span> <span class="built_in">F</span><span class="punctuation">)</span></span><br><span class="line"> <span class="keyword">if</span> <span class="punctuation">(</span><span class="operator">!</span>file.exists<span class="punctuation">(</span>lc_GPLN<span class="punctuation">)</span><span class="punctuation">)</span><span class="punctuation">{</span>dir.create<span class="punctuation">(</span>lc_GPLN<span class="punctuation">)</span><span class="punctuation">}</span></span><br><span class="line"> <span class="keyword">if</span><span class="punctuation">(</span>lc_local<span class="punctuation">)</span><span class="punctuation">{</span></span><br><span class="line"> gpl<span class="operator">=</span>read.table<span class="punctuation">(</span>file.path<span class="punctuation">(</span>lc_GPLN<span class="punctuation">,</span> lc_GPLN<span class="punctuation">)</span><span class="punctuation">,</span></span><br><span class="line"> header <span class="operator">=</span> <span class="literal">TRUE</span><span class="punctuation">,</span>fill <span class="operator">=</span> <span class="built_in">T</span><span class="punctuation">,</span>sep <span class="operator">=</span> <span class="string">"\t"</span><span class="punctuation">,</span></span><br><span class="line"> comment.char <span class="operator">=</span> <span class="string">"#"</span><span class="punctuation">,</span></span><br><span class="line"> stringsAsFactors <span class="operator">=</span> <span class="literal">FALSE</span><span class="punctuation">,</span></span><br><span class="line"> <span class="built_in">quote</span> <span class="operator">=</span> <span class="string">""</span><span class="punctuation">)</span></span><br><span class="line"> <span class="built_in">return</span><span class="punctuation">(</span>gpl<span class="punctuation">)</span></span><br><span class="line"> <span class="punctuation">}</span><span class="keyword">else</span><span class="punctuation">{</span></span><br><span class="line"> <span class="built_in">return</span><span class="punctuation">(</span>Table<span class="punctuation">(</span>getGEO<span class="punctuation">(</span>lc_GPLN<span class="punctuation">,</span>destdir <span class="operator">=</span> lc_GPLN<span class="punctuation">)</span><span class="punctuation">)</span><span class="punctuation">)</span></span><br><span class="line"> <span class="punctuation">}</span></span><br><span class="line"><span class="punctuation">}</span></span><br><span class="line">GPL <span class="operator"><-</span> <span class="string">'GPL6244'</span></span><br><span class="line">GPL <span class="operator"><-</span> f_getGPL<span class="punctuation">(</span>GPL<span class="punctuation">)</span></span><br><span class="line">GPL<span class="punctuation">[[</span><span class="string">'Symbol'</span><span class="punctuation">]</span><span class="punctuation">]</span> <span class="operator"><-</span> GPL<span class="operator">$</span>gene_assignment</span><br><span class="line">GPL <span class="operator"><-</span> GPL<span class="punctuation">[</span><span class="built_in">c</span><span class="punctuation">(</span><span class="string">'ID'</span><span class="punctuation">,</span><span class="string">'Symbol'</span><span class="punctuation">)</span><span class="punctuation">]</span></span><br><span class="line">GPL<span class="punctuation">[</span>GPL<span class="operator">$</span>Symbol <span class="operator">==</span> <span class="string">'---'</span><span class="punctuation">,</span> <span class="string">'Symbol'</span><span class="punctuation">]</span> <span class="operator">=</span> <span class="string">'---//---'</span></span><br><span class="line">tmp <span class="operator"><-</span> strsplit<span class="punctuation">(</span>x <span class="operator">=</span> GPL<span class="operator">$</span>Symbol<span class="punctuation">,</span> split <span class="operator">=</span> <span class="string">'//'</span><span class="punctuation">)</span></span><br><span class="line">tmp <span class="operator"><-</span> lapply<span class="punctuation">(</span>tmp<span class="punctuation">,</span> FUN <span class="operator">=</span> <span class="keyword">function</span><span class="punctuation">(</span>x<span class="punctuation">)</span><span class="punctuation">{</span>x<span class="punctuation">[</span><span class="number">2</span><span class="punctuation">]</span><span class="punctuation">}</span><span class="punctuation">)</span></span><br><span class="line">GPL<span class="punctuation">[[</span><span class="string">'Symbol'</span><span class="punctuation">]</span><span class="punctuation">]</span> <span class="operator">=</span> unlist<span class="punctuation">(</span>tmp<span class="punctuation">)</span></span><br><span class="line">GPL<span class="operator">$</span>Symbol<span class="punctuation">[</span>GPL<span class="operator">$</span>Symbol <span class="operator">==</span> <span class="string">'---'</span><span class="punctuation">]</span> <span class="operator">=</span> GPL<span class="operator">$</span>ID<span class="punctuation">[</span>GPL<span class="operator">$</span>Symbol <span class="operator">==</span> <span class="string">'---'</span><span class="punctuation">]</span></span><br><span class="line">rownames<span class="punctuation">(</span>GPL<span class="punctuation">)</span> <span class="operator"><-</span> <span class="built_in">as.character</span><span class="punctuation">(</span>GPL<span class="operator">$</span>ID<span class="punctuation">)</span></span><br><span class="line">GPL <span class="operator"><-</span> GPL<span class="punctuation">[</span><span class="built_in">as.character</span><span class="punctuation">(</span>rownames<span class="punctuation">(</span>data.exprs<span class="punctuation">)</span><span class="punctuation">)</span><span class="punctuation">,</span><span class="punctuation">]</span></span><br><span class="line">data.exprs <span class="operator"><-</span> f_dedup_IQR<span class="punctuation">(</span>data.exprs<span class="punctuation">,</span> GPL<span class="operator">$</span>Symbol<span class="punctuation">)</span></span><br><span class="line">data.exprs</span><br></pre></td></tr></table></figure>
- <h2 id="GPL与Platform对应表">GPL与Platform对应表</h2>
- <table>
- <thead>
- <tr>
- <th>gpl</th>
- <th>bioc_package</th>
- <th>title</th>
- </tr>
- </thead>
- <tbody>
- <tr>
- <td>GPL32</td>
- <td>mgu74a</td>
- <td>[MG_U74A] Affymetrix Murine Genome U74A Array</td>
- </tr>
- <tr>
- <td>GPL33</td>
- <td>mgu74b</td>
- <td>[MG_U74B] Affymetrix Murine Genome U74B Array</td>
- </tr>
- <tr>
- <td>GPL34</td>
- <td>mgu74c</td>
- <td>[MG_U74C] Affymetrix Murine Genome U74C Array</td>
- </tr>
- <tr>
- <td>GPL71</td>
- <td>ag</td>
- <td>[AG] Affymetrix Arabidopsis Genome Array</td>
- </tr>
- <tr>
- <td>GPL72</td>
- <td>drosgenome1</td>
- <td>[DrosGenome1] Affymetrix Drosophila Genome Array</td>
- </tr>
- <tr>
- <td>GPL74</td>
- <td>hcg110</td>
- <td>[HC_G110] Affymetrix Human Cancer Array</td>
- </tr>
- <tr>
- <td>GPL75</td>
- <td>mu11ksuba</td>
- <td>[Mu11KsubA] Affymetrix Murine 11K SubA Array</td>
- </tr>
- <tr>
- <td>GPL76</td>
- <td>mu11ksubb</td>
- <td>[Mu11KsubB] Affymetrix Murine 11K SubB Array</td>
- </tr>
- <tr>
- <td>GPL77</td>
- <td>mu19ksuba</td>
- <td>[Mu19KsubA] Affymetrix Murine 19K SubA Array</td>
- </tr>
- <tr>
- <td>GPL78</td>
- <td>mu19ksubb</td>
- <td>[Mu19KsubB] Affymetrix Murine 19K SubB Array</td>
- </tr>
- <tr>
- <td>GPL79</td>
- <td>mu19ksubc</td>
- <td>[Mu19KsubC] Affymetrix Murine 19K SubC Array</td>
- </tr>
- <tr>
- <td>GPL80</td>
- <td>hu6800</td>
- <td>[Hu6800] Affymetrix Human Full Length HuGeneFL Array</td>
- </tr>
- <tr>
- <td>GPL81</td>
- <td>mgu74av2</td>
- <td>[MG_U74Av2] Affymetrix Murine Genome U74A Version 2 Array</td>
- </tr>
- <tr>
- <td>GPL82</td>
- <td>mgu74bv2</td>
- <td>[MG_U74Bv2] Affymetrix Murine Genome U74B Version 2 Array</td>
- </tr>
- <tr>
- <td>GPL83</td>
- <td>mgu74cv2</td>
- <td>[MG_U74Cv2] Affymetrix Murine Genome U74 Version 2 Array</td>
- </tr>
- <tr>
- <td>GPL85</td>
- <td>rgu34a</td>
- <td>[RG_U34A] Affymetrix Rat Genome U34 Array</td>
- </tr>
- <tr>
- <td>GPL86</td>
- <td>rgu34b</td>
- <td>[RG_U34B] Affymetrix Rat Genome U34 Array</td>
- </tr>
- <tr>
- <td>GPL87</td>
- <td>rgu34c</td>
- <td>[RG_U34C] Affymetrix Rat Genome U34 Array</td>
- </tr>
- <tr>
- <td>GPL88</td>
- <td>rnu34</td>
- <td>[RN_U34] Affymetrix Rat Neurobiology U34 Array</td>
- </tr>
- <tr>
- <td>GPL89</td>
- <td>rtu34</td>
- <td>[RT_U34] Affymetrix Rat Toxicology U34 Array</td>
- </tr>
- <tr>
- <td>GPL90</td>
- <td>ygs98</td>
- <td>[YG_S98] Affymetrix Yeast Genome S98 Array</td>
- </tr>
- <tr>
- <td>GPL91</td>
- <td>hgu95av2</td>
- <td>[HG_U95A] Affymetrix Human Genome U95A Array</td>
- </tr>
- <tr>
- <td>GPL92</td>
- <td>hgu95b</td>
- <td>[HG_U95B] Affymetrix Human Genome U95B Array</td>
- </tr>
- <tr>
- <td>GPL93</td>
- <td>hgu95c</td>
- <td>[HG_U95C] Affymetrix Human Genome U95C Array</td>
- </tr>
- <tr>
- <td>GPL94</td>
- <td>hgu95d</td>
- <td>[HG_U95D] Affymetrix Human Genome U95D Array</td>
- </tr>
- <tr>
- <td>GPL95</td>
- <td>hgu95e</td>
- <td>[HG_U95E] Affymetrix Human Genome U95E Array</td>
- </tr>
- <tr>
- <td>GPL96</td>
- <td>hgu133a</td>
- <td>[HG-U133A] Affymetrix Human Genome U133A Array</td>
- </tr>
- <tr>
- <td>GPL97</td>
- <td>hgu133b</td>
- <td>[HG-U133B] Affymetrix Human Genome U133B Array</td>
- </tr>
- <tr>
- <td>GPL98</td>
- <td>hu35ksuba</td>
- <td>[Hu35KsubA] Affymetrix Human 35K SubA Array</td>
- </tr>
- <tr>
- <td>GPL99</td>
- <td>hu35ksubb</td>
- <td>[Hu35KsubB] Affymetrix Human 35K SubB Array</td>
- </tr>
- <tr>
- <td>GPL100</td>
- <td>hu35ksubc</td>
- <td>[Hu35KsubC] Affymetrix Human 35K SubC Array</td>
- </tr>
- <tr>
- <td>GPL101</td>
- <td>hu35ksubd</td>
- <td>[Hu35KsubD] Affymetrix Human 35K SubD Array</td>
- </tr>
- <tr>
- <td>GPL198</td>
- <td>ath1121501</td>
- <td>[ATH1-121501] Affymetrix Arabidopsis ATH1 Genome Array</td>
- </tr>
- <tr>
- <td>GPL199</td>
- <td>ecoli2</td>
- <td>[Ecoli_ASv2] Affymetrix E. coli Antisense Genome Array</td>
- </tr>
- <tr>
- <td>GPL200</td>
- <td>celegans</td>
- <td>[Celegans] Affymetrix C. elegans Genome Array</td>
- </tr>
- <tr>
- <td>GPL201</td>
- <td>hgfocus</td>
- <td>[HG-Focus] Affymetrix Human HG-Focus Target Array</td>
- </tr>
- <tr>
- <td>GPL339</td>
- <td>moe430a</td>
- <td>[MOE430A] Affymetrix Mouse Expression 430A Array</td>
- </tr>
- <tr>
- <td>GPL340</td>
- <td>mouse4302</td>
- <td>[MOE430B] Affymetrix Mouse Expression 430B Array</td>
- </tr>
- <tr>
- <td>GPL341</td>
- <td>rae230a</td>
- <td>[RAE230A] Affymetrix Rat Expression 230A Array</td>
- </tr>
- <tr>
- <td>GPL342</td>
- <td>rae230b</td>
- <td>[RAE230B] Affymetrix Rat Expression 230B Array</td>
- </tr>
- <tr>
- <td>GPL570</td>
- <td>hgu133plus2</td>
- <td>[HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array</td>
- </tr>
- <tr>
- <td>GPL571</td>
- <td>hgu133a2</td>
- <td>[HG-U133A_2] Affymetrix Human Genome U133A 2.0 Array</td>
- </tr>
- <tr>
- <td>GPL886</td>
- <td>hgug4111a</td>
- <td>Agilent-011871 Human 1B Microarray G4111A (Feature Number version)</td>
- </tr>
- <tr>
- <td>GPL887</td>
- <td>hgug4110b</td>
- <td>Agilent-012097 Human 1A Microarray (V2) G4110B (Feature Number version)</td>
- </tr>
- <tr>
- <td>GPL1261</td>
- <td>mouse430a2</td>
- <td>[Mouse430_2] Affymetrix Mouse Genome 430 2.0 Array</td>
- </tr>
- <tr>
- <td>GPL1318</td>
- <td>xenopuslaevis</td>
- <td>[Xenopus_laevis] Affymetrix Xenopus laevis Genome Array</td>
- </tr>
- <tr>
- <td>GPL1319</td>
- <td>zebrafish</td>
- <td>[Zebrafish] Affymetrix Zebrafish Genome Array</td>
- </tr>
- <tr>
- <td>GPL1322</td>
- <td>drosophila2</td>
- <td>[Drosophila_2] Affymetrix Drosophila Genome 2.0 Array</td>
- </tr>
- <tr>
- <td>GPL1352</td>
- <td>u133x3p</td>
- <td>[U133_X3P] Affymetrix Human X3P Array</td>
- </tr>
- <tr>
- <td>GPL1355</td>
- <td>rat2302</td>
- <td>[Rat230_2] Affymetrix Rat Genome 230 2.0 Array</td>
- </tr>
- <tr>
- <td>GPL1708</td>
- <td>hgug4112a</td>
- <td>Agilent-012391 Whole Human Genome Oligo Microarray G4112A (Feature Number version)</td>
- </tr>
- <tr>
- <td>GPL2112</td>
- <td>bovine</td>
- <td>[Bovine] Affymetrix Bovine Genome Array</td>
- </tr>
- <tr>
- <td>GPL2529</td>
- <td>yeast2</td>
- <td>[Yeast_2] Affymetrix Yeast Genome 2.0 Array</td>
- </tr>
- <tr>
- <td>GPL2891</td>
- <td>h20kcod</td>
- <td>GE Healthcare/Amersham Biosciences CodeLink™ UniSet Human 20K I Bioarray</td>
- </tr>
- <tr>
- <td>GPL2898</td>
- <td>adme16cod</td>
- <td>GE Healthcare/Amersham Biosciences CodeLink™ ADME Rat 16-Assay Bioarray</td>
- </tr>
- <tr>
- <td>GPL3154</td>
- <td>ecoli2</td>
- <td>[E_coli_2] Affymetrix E. coli Genome 2.0 Array</td>
- </tr>
- <tr>
- <td>GPL3213</td>
- <td>chicken</td>
- <td>[Chicken] Affymetrix Chicken Genome Array</td>
- </tr>
- <tr>
- <td>GPL3533</td>
- <td>porcine</td>
- <td>[Porcine] Affymetrix Porcine Genome Array</td>
- </tr>
- <tr>
- <td>GPL3738</td>
- <td>canine2</td>
- <td>[Canine_2] Affymetrix Canine Genome 2.0 Array</td>
- </tr>
- <tr>
- <td>GPL3921</td>
- <td>hthgu133a</td>
- <td>[HT_HG-U133A] Affymetrix HT Human Genome U133A Array</td>
- </tr>
- <tr>
- <td>GPL3979</td>
- <td>canine</td>
- <td>[Canine] Affymetrix Canine Genome 1.0 Array</td>
- </tr>
- <tr>
- <td>GPL4032</td>
- <td></td>
- <td>[Maize] Affymetrix Maize Genome Array</td>
- </tr>
- <tr>
- <td>GPL4191</td>
- <td>h10kcod</td>
- <td>CodeLink UniSet Human I Bioarray</td>
- </tr>
- <tr>
- <td>GPL5188</td>
- <td>huex10sttranscriptcluster</td>
- <td>[HuEx-1_0-st] Affymetrix Human Exon 1.0 ST Array [probe set (exon) version]</td>
- </tr>
- <tr>
- <td>GPL5689</td>
- <td>hgug4100a</td>
- <td>Agilent Human 1 cDNA Microarray (G4100A) [layout C]</td>
- </tr>
- <tr>
- <td>GPL6097</td>
- <td>illuminaHumanv1</td>
- <td>Illumina human-6 v1.0 expression beadchip</td>
- </tr>
- <tr>
- <td>GPL6102</td>
- <td>illuminaHumanv2</td>
- <td>Illumina human-6 v2.0 expression beadchip</td>
- </tr>
- <tr>
- <td>GPL6244</td>
- <td>hugene10sttranscriptcluster</td>
- <td>[HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array [transcript (gene) version]</td>
- </tr>
- <tr>
- <td>GPL6246</td>
- <td>mogene10sttranscriptcluster</td>
- <td>[MoGene-1_0-st] Affymetrix Mouse Gene 1.0 ST Array [transcript (gene) version]</td>
- </tr>
- <tr>
- <td>GPL6885</td>
- <td>illuminaMousev2</td>
- <td>Illumina MouseRef-8 v2.0 expression beadchip</td>
- </tr>
- <tr>
- <td>GPL6947</td>
- <td>illuminaHumanv3</td>
- <td>Illumina HumanHT-12 V3.0 expression beadchip</td>
- </tr>
- <tr>
- <td>GPL8300</td>
- <td>hgu95av2</td>
- <td>[HG_U95Av2] Affymetrix Human Genome U95 Version 2 Array</td>
- </tr>
- <tr>
- <td>GPL8321</td>
- <td>mouse430a2</td>
- <td>[Mouse430A_2] Affymetrix Mouse Genome 430A 2.0 Array</td>
- </tr>
- <tr>
- <td>GPL8490</td>
- <td>IlluminaHumanMethylation27k</td>
- <td>Illumina HumanMethylation27 BeadChip (HumanMethylation27_270596_v.1.2)</td>
- </tr>
- <tr>
- <td>GPL10558</td>
- <td>illuminaHumanv4</td>
- <td>Illumina HumanHT-12 V4.0 expression beadchip</td>
- </tr>
- <tr>
- <td>GPL11532</td>
- <td>hugene11sttranscriptcluster</td>
- <td>[HuGene-1_1-st] Affymetrix Human Gene 1.1 ST Array [transcript (gene) version]</td>
- </tr>
- <tr>
- <td>GPL13497</td>
- <td>HsAgilentDesign026652</td>
- <td>Agilent-026652 Whole Human Genome Microarray 4x44K v2 (Probe Name version)</td>
- </tr>
- <tr>
- <td>GPL13534</td>
- <td>IlluminaHumanMethylation450k</td>
- <td>Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482)</td>
- </tr>
- <tr>
- <td>GPL13667</td>
- <td>hgu219</td>
- <td>[HG-U219] Affymetrix Human Genome U219 Array</td>
- </tr>
- <tr>
- <td>GPL14877</td>
- <td>hgu133plus2</td>
- <td>Affymetrix Human Genome U133 Plus 2.0 Array [Brainarray Version 13, HGU133Plus2_Hs_ENTREZG]</td>
- </tr>
- <tr>
- <td>GPL15380</td>
- <td>GGHumanMethCancerPanelv1</td>
- <td>Illumina Sentrix Array Matrix (SAM) - GoldenGate Methylation Cancer Panel I</td>
- </tr>
- <tr>
- <td>GPL15396</td>
- <td>hthgu133b</td>
- <td>[HT_HG-U133B] Affymetrix HT Human Genome U133B Array [custom CDF: ENTREZ brainarray v. 14]</td>
- </tr>
- <tr>
- <td>GPL17556</td>
- <td>hugene10sttranscriptcluster</td>
- <td>[HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array [HuGene10stv1_Hs_ENTREZG_17.0.0]</td>
- </tr>
- <tr>
- <td>GPL17897</td>
- <td>hthgu133a</td>
- <td>[HT_HG-U133A] Affymetrix Human Genome U133A Array (custom CDF: HTHGU133A_Hs_ENTREZG.cdf version 17.0.0)</td>
- </tr>
- <tr>
- <td>GPL18190</td>
- <td>hugene11sttranscriptcluster</td>
- <td>[HuGene-1_1-st] Affymetrix Human Gene 1.1 ST Array [CDF: Brainarray HuGene11stv1_Hs_ENTREZG_15.1.0]</td>
- </tr>
- </tbody>
- </table>
-
- </div>
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- if ('anchors' in window) {
- anchors.removeAll();
- var el = (CONFIG.anchorjs.element || 'h1,h2,h3,h4,h5,h6').split(',');
- var res = [];
- for (var item of el) {
- res.push('.markdown-body > ' + item.trim());
- }
- if (CONFIG.anchorjs.placement === 'left') {
- anchors.options.class = 'anchorjs-link-left';
- }
- anchors.add(res.join(', '));
- }
- });
- });
- </script>
- <script>Fluid.plugins.imageCaption();</script>
- <script src="/js/local-search.js" ></script>
- <!-- 主题的启动项,将它保持在最底部 -->
- <!-- the boot of the theme, keep it at the bottom -->
- <script src="/js/boot.js" ></script>
-
- <noscript>
- <div class="noscript-warning">Blog works best with JavaScript enabled</div>
- </noscript>
- <!-- hexo injector body_end start -->
- <script defer src="/theme-inject/timeliness.js"></script>
- <!-- hexo injector body_end end --></body>
- </html>
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