Body: <p>I have a spreadsheet of CPM values</p>
  <p>I want to visualize the top 20 genes expressed across my samples</p>
  <p>This is how my data look like</p>
  <pre><code>&gt; head(b[1:5,1:5])
                   30566-001 - CPM 30566-002 - CPM 30566-003 - CPM 30566-004 - CPM 30566-005 - CPM
  hsa-miR-548ap-3p               0               0               0               0               0
  hsa-miR-548t-3p                0               0               0               0               0
  hsa-miR-548e-3p                0               0               0               0               0
  hsa-miR-548az-3p               0               0               0               0               0
  hsa-miR-548f-3p                0               0               0               0               0
  &gt; dim(b)
  [1] 2632   42
  &gt; 
  </code></pre>
  <p>How I can do that?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-11-25T15:03:58.490Z
Comments.Text: Just make a heatmap?
Comments.UserDisplayName: user438383
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-11-25T15:07:41.110Z
Comments.Text: Then from a data frame with 2632 genes, how I select a list of genes for heatmap? Because a heatmap with 2632 genes is not clear while my main purpose is to shows a list of highly expressed genes across my samples
Comments.UserDisplayName: Zizogolu
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-11-25T15:14:53.153Z
Comments.Text: select the N genes with the highest average expression across all samples?
Comments.UserDisplayName: user438383
Tags: <r><differential-expression><deseq2>
Title: Visualizing top expressed genes
ThreadText: # Visualizing top expressed genes
  
  (Asked by: username_0 on 2021-11-25)
  
  I have a spreadsheet of CPM values
  
  I want to visualize the top 20 genes expressed across my samples
  
  This is how my data look like
  
  ```
  > head(b[1:5,1:5])
                   30566-001 - CPM 30566-002 - CPM 30566-003 - CPM 30566-004 - CPM 30566-005 - CPM
  hsa-miR-548ap-3p               0               0               0               0               0
  hsa-miR-548t-3p                0               0               0               0               0
  hsa-miR-548e-3p                0               0               0               0               0
  hsa-miR-548az-3p               0               0               0               0               0
  hsa-miR-548f-3p                0               0               0               0               0
  > dim(b)
  [1] 2632   42
  > 
  
  ```
  
  How I can do that?
  
  **Tags:** r, differential-expression, deseq2
  
  > **Comments:**
  > **username_1**: Just make a heatmap?  
  > **username_0**: Then from a data frame with 2632 genes, how I select a list of genes for heatmap? Because a heatmap with 2632 genes is not clear while my main purpose is to shows a list of highly expressed genes across my samples  
  > **username_1**: select the N genes with the highest average expression across all samples?  
  
  ---
  
  ## 0 answers
  
  