text: user6827: I'm currently working with a seurat object and I'd like to calculate the expression values per gene for all cells within a particular cluster.
  I've gone ahead and subsetted the cluster of interest.
  tumor <- subset(x = data, idents = c("Tumor"), invert = FALSE)
  
  How would I calculate the expression values per gene per cell?
  FindAllMarkers
  
  Finds markers (differentially expressed genes) for each of the identity classes in a dataset per ident.
  
  user6827: No Seurat function is needed. In the seurat object "cells", you can access the raw counts or normalized counts using cells@assays$RNA@counts (raw counts) or cells@assays$SCT@data (SCT normalized data)
  
original_text: 6827: <p>I'm currently working with a seurat object and I'd like to calculate the expression values per gene for all cells within a particular cluster.</p>
  <p>I've gone ahead and subsetted the cluster of interest.</p>
  <pre><code>tumor &lt;- subset(x = data, idents = c(&quot;Tumor&quot;), invert = FALSE)
  </code></pre>
  <p>How would I calculate the expression values per gene per cell?</p>
  <pre><code>FindAllMarkers
  </code></pre>
  <p>Finds markers (differentially expressed genes) for each of the identity classes in a dataset per ident.</p>
   6827: <p>No Seurat function is needed. In the seurat object &quot;cells&quot;, you can access the raw counts or normalized counts using <code>cells@assays$RNA@counts</code> (raw counts) or <code>cells@assays$SCT@data</code> (SCT normalized data)</p>
  