123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628629630631632633634635636637638639640641642643644645646647648649650651652653654655656657658659660661662663664665666667668669670671672673674675676677678679680681682683684685686687688689690691692693694695696697698699700701702703704705706707708709710711712713714715716 |
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- <h1 id="seo-header">Seurat (七) 判断某个细胞群的性质 (一) ——GSEA分析</h1>
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- <h2 id="第一步-读取数据"><a href="#第一步-读取数据" class="headerlink" title="第一步 读取数据"></a>第一步 读取数据</h2><figure class="highlight gauss"><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></pre></td><td class="code"><pre><code class="hljs gauss"><span class="hljs-keyword">library</span>(Matrix)<br><span class="hljs-keyword">library</span>(Seurat)<br><span class="hljs-keyword">library</span>(plyr)<br><span class="hljs-keyword">library</span>(dplyr)<br><span class="hljs-keyword">library</span>(patchwork)<br><span class="hljs-keyword">library</span>(purrr)<br> <br><span class="hljs-built_in">rm</span>(list = <span class="hljs-built_in">ls</span>())<br><span class="hljs-meta"># 配置数据路径</span><br>root_path = <span class="hljs-string">"~/zlliu/R_data/TCGA"</span><br> <br><span class="hljs-meta"># 配置结果保存路径</span><br>output_path = root_path<br><span class="hljs-keyword">if</span> (!file.exists(output_path)){dir.create(output_path)}<br> <br><span class="hljs-meta"># 设置工作目录,输出文件将保存在此目录下</span><br><span class="hljs-built_in">setwd</span>(output_path)<br><span class="hljs-built_in">getwd</span>()<br><br></code></pre></td></tr></table></figure>
- <h2 id="第一步-得到指定群的差异基因"><a href="#第一步-得到指定群的差异基因" class="headerlink" title="第一步 得到指定群的差异基因"></a>第一步 得到指定群的差异基因</h2><figure class="highlight stylus"><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><code class="hljs stylus">scRNA<span class="hljs-selector-attr">[[<span class="hljs-string">'manual_3'</span>]</span>] = <span class="hljs-built_in">ifelse</span>(scRNA<span class="hljs-selector-attr">[[<span class="hljs-string">'manual_2'</span>]</span>] == <span class="hljs-string">"Unkown_10"</span>, <span class="hljs-string">"Unkown_10"</span>, <span class="hljs-string">'others'</span>)<br><span class="hljs-function"><span class="hljs-title">Idents</span><span class="hljs-params">(scRNA)</span></span> <- scRNA<span class="hljs-selector-attr">[[<span class="hljs-string">'manual_3'</span>]</span>]<br>all_markers <- <span class="hljs-built_in">FindAllMarkers</span>(scRNA, min<span class="hljs-selector-class">.pct</span> = <span class="hljs-number">0.25</span>, logfc<span class="hljs-selector-class">.threshold</span> = <span class="hljs-number">0.25</span>)<br>significant_markers <- <span class="hljs-built_in">subset</span>(all_markers, subset = p_val_adj<<span class="hljs-number">0.05</span>)<br>write<span class="hljs-selector-class">.csv</span>(significant_markers, <span class="hljs-string">'manual_2_Markers.csv'</span>)<br>significant_markers <- <span class="hljs-built_in">subset</span>(significant_markers, cluster==<span class="hljs-string">"Unkown_10"</span>)<br><span class="hljs-function"><span class="hljs-title">rownames</span><span class="hljs-params">(significant_markers)</span></span> <- <span class="hljs-built_in">gsub</span>(<span class="hljs-string">"\\.(\\.?\\d*)"</span>,<span class="hljs-string">""</span>,<span class="hljs-built_in">rownames</span>(significant_markers))<br>fc <- <span class="hljs-built_in">with</span>(significant_markers, <span class="hljs-built_in">mean</span>(<span class="hljs-built_in">abs</span>(avg_log2FC)) + <span class="hljs-number">1</span>*<span class="hljs-built_in">sd</span>(<span class="hljs-built_in">abs</span>(avg_log2FC)))<br>usignificant_markers <- <span class="hljs-built_in">subset</span>(significant_markers, avg_log2FC>fc)<br>dsignificant_markers <- <span class="hljs-built_in">subset</span>(significant_markers, avg_log2FC<fc)<br></code></pre></td></tr></table></figure>
- <h2 id="第二步-KEGG"><a href="#第二步-KEGG" class="headerlink" title="第二步 KEGG"></a>第二步 KEGG</h2><figure class="highlight lua"><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><span class="line">34</span><br><span class="line">35</span><br><span class="line">36</span><br><span class="line">37</span><br><span class="line">38</span><br><span class="line">39</span><br><span class="line">40</span><br><span class="line">41</span><br><span class="line">42</span><br><span class="line">43</span><br><span class="line">44</span><br><span class="line">45</span><br><span class="line">46</span><br><span class="line">47</span><br><span class="line">48</span><br><span class="line">49</span><br><span class="line">50</span><br><span class="line">51</span><br><span class="line">52</span><br><span class="line">53</span><br></pre></td><td class="code"><pre><code class="hljs lua"># clusterProfiler作kegg富集分析<br>library(clusterProfiler)<br>library(enrichplot)<br>library(forcats)<br><br>f_id2name_fuck <- <span class="hljs-function"><span class="hljs-keyword">function</span><span class="hljs-params">(lc_exp, lc_db)</span></span>{<br> <span class="hljs-keyword">if</span>(!is.data.frame(lc_db)){<br> lc_ids <- toTable(lc_db)<br> }<span class="hljs-keyword">else</span>{<br> lc_ids <- lc_db<br> }<br> res_n <- rownames(lc_exp)<br> res_n <- res_n[res_n %<span class="hljs-keyword">in</span>% lc_ids<span class="hljs-string">[[1]]</span>]<br> res <- lc_exp[res_n,]<br> <span class="hljs-keyword">if</span>(!is.data.frame(res)){res=data.frame(row.names = res_n, res)}<br> lc_ids=lc_ids[<span class="hljs-built_in">match</span>(rownames(res),lc_ids<span class="hljs-string">[[1]]</span>),]<br> lc_tmp = by(res,<br> lc_ids<span class="hljs-string">[[2]]</span>,<br> <span class="hljs-function"><span class="hljs-keyword">function</span><span class="hljs-params">(x)</span></span> rownames(x)[which.<span class="hljs-built_in">max</span>(rowMeans(x))])<br> lc_probes = as.character(lc_tmp)<br> res_n <- rownames(res)<br> res_n <- res_n[res_n %<span class="hljs-keyword">in</span>% lc_probes]<br> res = res[res_n,]<br> <span class="hljs-keyword">if</span>(!is.data.frame(res)){res=data.frame(row.names = res_n, res)} <br> rownames(res)=lc_ids[<span class="hljs-built_in">match</span>(rownames(res),lc_ids<span class="hljs-string">[[1]]</span>),<span class="hljs-number">2</span>]<br> res<br>}<br><br>library(org.Hs.eg.db)<br>f_id2name_sb <- <span class="hljs-function"><span class="hljs-keyword">function</span><span class="hljs-params">(lc_cgene, keytype="SYMBOL", columns="ENTREZID")</span></span>{<br> res=<span class="hljs-built_in">select</span>(org.Hs.eg.db,keys=lc_cgene,columns=columns, keytype=keytype)<br> res <- subset(res, !is.na(ENTREZID))<br> res$ENTREZID<br>}<br><br>library(ggplot2)<br>library(DOSE)<br>f_kegg_p <- <span class="hljs-function"><span class="hljs-keyword">function</span><span class="hljs-params">(keggr2, n = 15)</span></span>{<br> keggr <- subset(keggr2@result, p.adjust < <span class="hljs-number">0.05</span>)<br> keggr<span class="hljs-string">[['-log(Padj)']]</span> <- -<span class="hljs-built_in">log10</span>(keggr<span class="hljs-string">[['p.adjust']]</span>)<br> keggr<span class="hljs-string">[['geneRatio']]</span> <- parse_ratio(keggr<span class="hljs-string">[['GeneRatio']]</span>)<br> keggr$Description <- factor(keggr$Description, <br> levels=keggr[order(keggr$geneRatio),]$Description)<br> ggplot(head(keggr,n),aes(x=geneRatio,y=Description))+<br> geom_point(aes(color=`-<span class="hljs-built_in">log</span>(Padj)`,<br> size=`Count`))+<br> theme_bw()+<br> scale_color_gradient(low=<span class="hljs-string">"blue1"</span>,high=<span class="hljs-string">"brown1"</span>)+<br> labs(y=NULL) + <br> theme(axis.text.x=element_text(angle=<span class="hljs-number">90</span>,hjust = <span class="hljs-number">1</span>,vjust=<span class="hljs-number">0.5</span>, size = <span class="hljs-number">12</span>),<br> axis.text.y=element_text(size = <span class="hljs-number">15</span>))<br>}<br><br></code></pre></td></tr></table></figure>
- <figure class="highlight isbl"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><code class="hljs isbl"><span class="hljs-variable">ENTREZID</span>=<span class="hljs-function"><span class="hljs-title">f_id2name_sb</span>(<span class="hljs-title">rownames</span>(<span class="hljs-variable">scRNA</span>))</span><br></code></pre></td></tr></table></figure>
- <figure class="highlight stylus"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br></pre></td><td class="code"><pre><code class="hljs stylus">kegg<span class="hljs-selector-class">.u</span> <- <span class="hljs-built_in">enrichKEGG</span>(gene = <span class="hljs-built_in">f_id2name_sb</span>(usignificant_markers<span class="hljs-variable">$gene</span>),<br> organism = <span class="hljs-built_in">search_kegg_organism</span>(<span class="hljs-string">'Homo sapiens'</span>)<span class="hljs-variable">$kegg_code</span>,<br> universe = ENTREZID,<br> pAdjustMethod = <span class="hljs-string">"fdr"</span>,<br> qvalueCutoff =<span class="hljs-number">0.05</span>)<br><br></code></pre></td></tr></table></figure>
- <figure class="highlight reasonml"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br></pre></td><td class="code"><pre><code class="hljs reasonml">f<span class="hljs-constructor">_kegg_p(<span class="hljs-params">kegg</span>.<span class="hljs-params">u</span>, <span class="hljs-params">n</span> =15)</span> %>% f<span class="hljs-constructor">_title(<span class="hljs-string">"kegg.u"</span>)</span><br>f<span class="hljs-constructor">_kegg_p(<span class="hljs-params">kegg</span>.<span class="hljs-params">d</span>, <span class="hljs-params">n</span> =15)</span> %>% f<span class="hljs-constructor">_title(<span class="hljs-string">"kegg.d"</span>)</span><br></code></pre></td></tr></table></figure>
- <p><a target="_blank" rel="noopener" href="https://img-cdn.limour.top/blog_wp/2021/10/kegg.u.png"><img src="https://img-cdn.limour.top/blog_wp/2021/10/kegg.u.png" srcset="https://jscdn.limour.top/gh/Limour-dev/Sakurairo_Vision/load_svg/inload.svg" lazyload></a></p>
- <h2 id="第三步-GO"><a href="#第三步-GO" class="headerlink" title="第三步 GO"></a>第三步 GO</h2><figure class="highlight stylus"><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></pre></td><td class="code"><pre><code class="hljs stylus">GO<span class="hljs-selector-class">.U</span><span class="hljs-selector-class">.CC</span> <- <span class="hljs-built_in">enrichGO</span>(gene = <span class="hljs-built_in">f_id2name_sb</span>(usignificant_markers<span class="hljs-variable">$gene</span>),<br> keyType = <span class="hljs-string">"ENTREZID"</span>,<br> OrgDb= <span class="hljs-string">'org.Hs.eg.db'</span>,<br> ont = <span class="hljs-string">"CC"</span>,<br> universe = ENTREZID,<br> pAdjustMethod = <span class="hljs-string">"fdr"</span>,<br> qvalueCutoff = <span class="hljs-number">0.05</span>,<br> readable = TRUE)<br>GO<span class="hljs-selector-class">.U</span><span class="hljs-selector-class">.BP</span> <- <span class="hljs-built_in">enrichGO</span>(gene = <span class="hljs-built_in">f_id2name_sb</span>(usignificant_markers<span class="hljs-variable">$gene</span>),<br> keyType = <span class="hljs-string">"ENTREZID"</span>,<br> OrgDb= <span class="hljs-string">'org.Hs.eg.db'</span>,<br> ont = <span class="hljs-string">"BP"</span>,<br> universe = ENTREZID,<br> pAdjustMethod = <span class="hljs-string">"fdr"</span>,<br> qvalueCutoff = <span class="hljs-number">0.05</span>,<br> readable = TRUE)<br>GO<span class="hljs-selector-class">.U</span><span class="hljs-selector-class">.MF</span> <- <span class="hljs-built_in">enrichGO</span>(gene = <span class="hljs-built_in">f_id2name_sb</span>(usignificant_markers<span class="hljs-variable">$gene</span>),<br> keyType = <span class="hljs-string">"ENTREZID"</span>,<br> OrgDb= <span class="hljs-string">'org.Hs.eg.db'</span>,<br> ont = <span class="hljs-string">"MF"</span>,<br> universe = ENTREZID,<br> pAdjustMethod = <span class="hljs-string">"fdr"</span>,<br> qvalueCutoff = <span class="hljs-number">0.05</span>,<br> readable = TRUE)<br><br></code></pre></td></tr></table></figure>
- <figure class="highlight gcode"><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></pre></td><td class="code"><pre><code class="hljs gcode">f_kegg_p<span class="hljs-comment">(GO.U.CC, n =15)</span> <span class="hljs-meta">%</span>><span class="hljs-meta">%</span> f_title<span class="hljs-comment">("GO.U.CC")</span><br>f_kegg_p<span class="hljs-comment">(GO.U.BP, n =15)</span> <span class="hljs-meta">%</span>><span class="hljs-meta">%</span> f_title<span class="hljs-comment">("GO.U.BP")</span><br>f_kegg_p<span class="hljs-comment">(GO.U.MF, n =15)</span> <span class="hljs-meta">%</span>><span class="hljs-meta">%</span> f_title<span class="hljs-comment">("GO.U.MF")</span><br><br></code></pre></td></tr></table></figure>
- <h2 id="第四步-GESA"><a href="#第四步-GESA" class="headerlink" title="第四步 GESA"></a>第四步 GESA</h2><figure class="highlight stylus"><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></pre></td><td class="code"><pre><code class="hljs stylus">f_gse_fuck <- <span class="hljs-built_in">function</span>(geneSym, logFC, keytype=<span class="hljs-string">"SYMBOL"</span>, <span class="hljs-attribute">columns</span>=<span class="hljs-string">"ENTREZID"</span>, lc_order=T){<br> res=<span class="hljs-built_in">select</span>(org<span class="hljs-selector-class">.Hs</span><span class="hljs-selector-class">.eg</span><span class="hljs-selector-class">.db</span>,keys=geneSym,<span class="hljs-attribute">columns</span>=columns, keytype=keytype)<br> res <- <span class="hljs-built_in">cbind</span>(res, logFC)<br> res <- <span class="hljs-built_in">subset</span>(res, !is<span class="hljs-selector-class">.na</span>(ENTREZID))<br> <span class="hljs-built_in">if</span>(lc_order){res <- res<span class="hljs-selector-attr">[order(res$logFC, decreasing = T),]</span>}<br> res2 <- res<span class="hljs-variable">$logFC</span><br> <span class="hljs-built_in">if</span>(lc_order){<br> <span class="hljs-built_in">names</span>(res2) <- res<span class="hljs-selector-attr">[[columns]</span>]<br> }<span class="hljs-keyword">else</span>{<br> <span class="hljs-built_in">names</span>(res2) <- res<span class="hljs-selector-attr">[[keytype]</span>]<br> }<br> res2<br>}<br></code></pre></td></tr></table></figure>
- <figure class="highlight nginx"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><code class="hljs nginx"><span class="hljs-attribute">lgene</span> <- f_gse_fuck(significant_markers<span class="hljs-variable">$gene</span>,significant_markers<span class="hljs-variable">$avg_log2FC</span>)<br></code></pre></td></tr></table></figure>
- <figure class="highlight stylus"><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><code class="hljs stylus">gsekegg <- <span class="hljs-built_in">gseKEGG</span>(gene = lgene,<br> organism = <span class="hljs-built_in">search_kegg_organism</span>(<span class="hljs-string">'Homo sapiens'</span>)<span class="hljs-variable">$kegg_code</span>,<br> pAdjustMethod = <span class="hljs-string">"fdr"</span>)<br><br>GO<span class="hljs-selector-class">.CC</span> <- <span class="hljs-built_in">gseGO</span>(gene = lgene,<br> keyType = <span class="hljs-string">"ENTREZID"</span>,<br> OrgDb= org<span class="hljs-selector-class">.Hs</span><span class="hljs-selector-class">.eg</span><span class="hljs-selector-class">.db</span>,<br> ont = <span class="hljs-string">"CC"</span>,<br> pAdjustMethod = <span class="hljs-string">"fdr"</span>)<br><br>GO<span class="hljs-selector-class">.BP</span> <- <span class="hljs-built_in">gseGO</span>(gene = lgene,<br> keyType = <span class="hljs-string">"ENTREZID"</span>,<br> OrgDb= org<span class="hljs-selector-class">.Hs</span><span class="hljs-selector-class">.eg</span><span class="hljs-selector-class">.db</span>,<br> ont = <span class="hljs-string">"CC"</span>,<br> pAdjustMethod = <span class="hljs-string">"fdr"</span>)<br><br></code></pre></td></tr></table></figure>
- <figure class="highlight less"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br></pre></td><td class="code"><pre><code class="hljs less"><span class="hljs-selector-tag">options</span>(repr.plot.width=<span class="hljs-number">9</span>, repr.plot.height=<span class="hljs-number">9</span>)<br><span class="hljs-selector-tag">gseaplot2</span>(gsekegg,geneSetID=<span class="hljs-built_in">head</span>(<span class="hljs-built_in">which</span>(gsekegg<span class="hljs-variable">@result</span>$enrichmentScore><span class="hljs-number">0.4</span>),<span class="hljs-number">15</span>))<br><span class="hljs-selector-tag">gseaplot2</span>(gsekegg,geneSetID=<span class="hljs-built_in">head</span>(<span class="hljs-built_in">which</span>(gsekegg<span class="hljs-variable">@result</span>$enrichmentScore < -<span class="hljs-number">0.3</span>),<span class="hljs-number">6</span>))<br><br><span class="hljs-selector-tag">gseaplot2</span>(GO.CC,geneSetID=<span class="hljs-built_in">head</span>(<span class="hljs-built_in">which</span>(GO.CC<span class="hljs-variable">@result</span>$enrichmentScore><span class="hljs-number">0.4</span>),<span class="hljs-number">15</span>))<br><span class="hljs-selector-tag">gseaplot2</span>(GO.CC,geneSetID=<span class="hljs-built_in">head</span>(<span class="hljs-built_in">which</span>(GO.CC<span class="hljs-variable">@result</span>$enrichmentScore < -<span class="hljs-number">0.3</span>),<span class="hljs-number">6</span>))<br><br><span class="hljs-selector-tag">gseaplot2</span>(GO.BP,geneSetID=<span class="hljs-built_in">head</span>(<span class="hljs-built_in">which</span>(GO.BP<span class="hljs-variable">@result</span>$enrichmentScore><span class="hljs-number">0.4</span>),<span class="hljs-number">15</span>))<br><span class="hljs-selector-tag">gseaplot2</span>(GO.BP,geneSetID=<span class="hljs-built_in">head</span>(<span class="hljs-built_in">which</span>(GO.BP<span class="hljs-variable">@result</span>$enrichmentScore < -<span class="hljs-number">0.3</span>),<span class="hljs-number">6</span>))<br><br></code></pre></td></tr></table></figure>
- <p><a target="_blank" rel="noopener" href="https://img-cdn.limour.top/blog_wp/2021/10/kegg.gse_.png"><img src="https://img-cdn.limour.top/blog_wp/2021/10/kegg.gse_.png" srcset="https://jscdn.limour.top/gh/Limour-dev/Sakurairo_Vision/load_svg/inload.svg" lazyload></a></p>
- <h2 id="第五步-GO-terms关系网络图"><a href="#第五步-GO-terms关系网络图" class="headerlink" title="第五步 GO terms关系网络图"></a>第五步 GO terms关系网络图</h2><figure class="highlight scss"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><code class="hljs scss"># <span class="hljs-built_in">options</span>(BioC_mirror="https://mirrors.tuna.tsinghua.edu.cn/bioconductor")<br># BiocManager::<span class="hljs-built_in">install</span>(<span class="hljs-string">"ggnewscale"</span>)<br><span class="hljs-built_in">library</span>(enrichplot)<br></code></pre></td></tr></table></figure>
- <figure class="highlight stylus"><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></pre></td><td class="code"><pre><code class="hljs stylus"><br>kegg<span class="hljs-selector-class">.u2</span> <- <span class="hljs-built_in">pairwise_termsim</span>(kegg.u)<br><span class="hljs-function"><span class="hljs-title">emapplot</span><span class="hljs-params">(kegg.u2,showCategory=<span class="hljs-number">15</span>)</span></span> <br><br>GO<span class="hljs-selector-class">.U</span><span class="hljs-selector-class">.MF2</span> <- <span class="hljs-built_in">pairwise_termsim</span>(GO<span class="hljs-selector-class">.U</span>.MF)<br><span class="hljs-function"><span class="hljs-title">emapplot</span><span class="hljs-params">(GO.U.MF2,showCategory=<span class="hljs-number">15</span>)</span></span> <br><br></code></pre></td></tr></table></figure>
- <p><a target="_blank" rel="noopener" href="https://img-cdn.limour.top/blog_wp/2021/10/kegg.ema_.png"><img src="https://img-cdn.limour.top/blog_wp/2021/10/kegg.ema_.png" srcset="https://jscdn.limour.top/gh/Limour-dev/Sakurairo_Vision/load_svg/inload.svg" lazyload></a></p>
- <h2 id="第六步-共同基因绘图"><a href="#第六步-共同基因绘图" class="headerlink" title="第六步 共同基因绘图"></a>第六步 共同基因绘图</h2><figure class="highlight stylus"><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></pre></td><td class="code"><pre><code class="hljs stylus">f_kegg_readable_1 <- <span class="hljs-built_in">function</span>(Oj, <span class="hljs-attribute">columns</span>=<span class="hljs-string">"SYMBOL"</span>, keytype=<span class="hljs-string">"ENTREZID"</span>){<br> ge <- Oj@gene<br> ge <- <span class="hljs-built_in">select</span>(org<span class="hljs-selector-class">.Hs</span><span class="hljs-selector-class">.eg</span><span class="hljs-selector-class">.db</span>,keys=ge,<span class="hljs-attribute">columns</span>=columns, keytype=keytype)<br> ge2sy <- ge<span class="hljs-selector-attr">[[columns]</span>]<br> <span class="hljs-built_in">names</span>(ge2sy) <- ge<span class="hljs-selector-attr">[[keytype]</span>]<br> Oj@gene2Symbol <- ge2sy<br> Oj<br>}<br>f_kegg_readable_2 <- <span class="hljs-built_in">function</span>(str, ge2sy){<br> res <- <span class="hljs-built_in">strsplit</span>(str, <span class="hljs-string">'/'</span>)<br> <span class="hljs-built_in">paste</span>(<span class="hljs-built_in">unlist</span>(ge2sy<span class="hljs-selector-attr">[unlist(res)]</span>),sep = <span class="hljs-string">''</span>, collapse=<span class="hljs-string">"/"</span>)<br>}<br>f_kegg_readable <- <span class="hljs-built_in">function</span>(Oj){<br> res <- <span class="hljs-built_in">f_kegg_readable_1</span>(Oj)<br> kegg.u2@result<span class="hljs-variable">$geneID</span> <- <span class="hljs-built_in">lapply</span>(kegg.u2@result<span class="hljs-variable">$geneID</span>, f_kegg_readable_2, Oj@gene2Symbol)<br> kegg<span class="hljs-selector-class">.u2</span><br>}<br></code></pre></td></tr></table></figure>
- <figure class="highlight stylus"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br></pre></td><td class="code"><pre><code class="hljs stylus"><span class="hljs-function"><span class="hljs-title">cnetplot</span><span class="hljs-params">(GO.U.BP2, foldChange= f_gse_fuck(usignificant_markers<span class="hljs-variable">$gene</span>,usignificant_markers<span class="hljs-variable">$avg_log2FC</span>, lc_order = F)</span></span>)<br><span class="hljs-function"><span class="hljs-title">cnetplot</span><span class="hljs-params">(GO.U.MF2, foldChange= f_gse_fuck(usignificant_markers<span class="hljs-variable">$gene</span>,usignificant_markers<span class="hljs-variable">$avg_log2FC</span>, lc_order = F)</span></span>)<br></code></pre></td></tr></table></figure>
- <figure class="highlight reasonml"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><code class="hljs reasonml">cnetplot(f<span class="hljs-constructor">_kegg_readable(<span class="hljs-params">kegg</span>.<span class="hljs-params">u2</span>)</span>, foldChange= f<span class="hljs-constructor">_gse_fuck(<span class="hljs-params">usignificant_markers$gene</span>,<span class="hljs-params">usignificant_markers$avg_log2FC</span>, <span class="hljs-params">lc_order</span> = F)</span>)<br></code></pre></td></tr></table></figure>
- <p><a target="_blank" rel="noopener" href="https://img-cdn.limour.top/blog_wp/2021/10/kegg.u2_c.png"><img src="https://img-cdn.limour.top/blog_wp/2021/10/kegg.u2_c.png" srcset="https://jscdn.limour.top/gh/Limour-dev/Sakurairo_Vision/load_svg/inload.svg" lazyload></a></p>
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