Body: <p>I'm running FindAllMarkers</p>
  <pre><code>markers &lt;- FindAllMarkers(scData_scTransform_PTX_only_res04_20PC_6000g_30mt_sb_removal_20210713_ann_exp0_counts, min.pct = 0.25, logfc.threshold = 0.25)
  </code></pre>
  <p>But was wondering if there is a function in seurat to get the raw (non-normalized) expression data from each cell type cluster</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-08-11T12:51:09.983Z
Comments.Text: Hi, could you please add more context to this question so that we can understand why you want to find out this information? I've calculated *cell* counts per cluster, and visualised gene counts per cluster using scatter plots, but haven't yet run into a case where I'd need to work out *gene* count per cluster as a single statistic (whatever that means).
Comments.UserDisplayName: gringer
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-08-20T08:45:12.517Z
Comments.Text: @mmpp could it be that you meant to compare expression profiles of some genes (by means of a boxplot, for instance), to evaluate the differences between two conditions, in the same cell type, i.e. a cluster?
Comments.UserDisplayName: gbt
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-09-15T21:58:44.257Z
Comments.Text: are you trying to calculate pseudobulk average?
Comments.UserDisplayName: Code42
Tags: <r><gene><seurat><single-cell>
Title: functions in seurat to calculate the gene count per cluster
ThreadText: # functions in seurat to calculate the gene count per cluster
  
  (Asked by: username_0 on 2021-08-10)
  
  I'm running FindAllMarkers
  
  ```
  markers <- FindAllMarkers(scData_scTransform_PTX_only_res04_20PC_6000g_30mt_sb_removal_20210713_ann_exp0_counts, min.pct = 0.25, logfc.threshold = 0.25)
  
  ```
  
  But was wondering if there is a function in seurat to get the raw (non-normalized) expression data from each cell type cluster
  
  **Tags:** r, gene, seurat, single-cell
  
  > **Comments:**
  > **username_1**: Hi, could you please add more context to this question so that we can understand why you want to find out this information? I've calculated *cell* counts per cluster, and visualised gene counts per cluster using scatter plots, but haven't yet run into a case where I'd need to work out *gene* count per cluster as a single statistic (whatever that means).  
  > **username_2**: @username_0 could it be that you meant to compare expression profiles of some genes (by means of a boxplot, for instance), to evaluate the differences between two conditions, in the same cell type, i.e. a cluster?  
  > **username_3**: are you trying to calculate pseudobulk average?  
  
  ---
  
  ## 0 answers
  
  