text: user16057: I have a single cell dataset which I consider to be a reference , let say, for an human organ, I have identified some new clusters that correspond to cell types. I also have WGCNA modules that correspond to a identified cluster.
  Given this background, is there any possibilities to validate the presence of the cell types from my reference dataset inside another single cell dataset ?
  I was thinking about GSEA, but all the gene in a set have the same importance.
  Could I use eigen vectors from first principal component for a given module expressed in the corresponding cell type, as a weight. Then calculate inside another dataset a sort of "first principal component" using the previous eigen vectors. Then I would simply calculate the correlation between the first principal component and the calculated one to validate whether my cell type is present or not.
  I was also thinking about a sort of weigthed GSEA, if anything like this ever existed.
  
  user2388: I think the typical way to do this would be to identify a small number of marker genes whose presence and absence is specific for that cell type.
  
original_text: 16057: <p>I have a single cell dataset which I consider to be a reference , let say, for an human organ, I have identified some new clusters that correspond to cell types. I also have WGCNA modules that correspond to a identified cluster.
  Given this background, is there any possibilities to validate the presence of the cell types from my reference dataset inside another single cell dataset ?</p>
  <p>I was thinking about GSEA, but all the gene in a set have the same importance.
  Could I use eigen vectors from first principal component for a given module expressed in the corresponding cell type, as a weight. Then calculate inside another dataset a sort of &quot;first principal component&quot; using the previous eigen vectors. Then I would simply calculate the correlation between the first principal component and the calculated one to validate whether my cell type is present or not.
  I was also thinking about a sort of weigthed GSEA, if anything like this ever existed.</p>
   2388: <p>I think the typical way to do this would be to identify a small number of marker genes whose presence and absence is specific for that cell type.</p>
  