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Hello! I'm confused when I select one or more groups before constructing the network. For example, when I choose 'INH' as the given group of cells that will be used for downstream network analysis, there will be results for other cell types as well. I don't know how to explain the results of other cell types. Looking forward to your reply and thanks for designing this well-done software!
The text was updated successfully, but these errors were encountered:
Good question. When you run SetDatExpr to set up the expression matrix, that is the matrix that will be used to construct the co-expression network. However, after we construct the network we do other things like quantify the gene expression signature of the co-expression modules (aka module eigengenes).
In the tutorial, the network is constructed only using the inhibitory neurons but the module eigengene calculation is done with the whole dataset. If you are only interested in one of your cell types, I would recommend subsetting your dataset before running any of the hdWGCNA code. For example, this is essentially what was done in Figure 5 of the hdWGCNA paper.
Hello! I'm confused when I select one or more groups before constructing the network. For example, when I choose 'INH' as the given group of cells that will be used for downstream network analysis, there will be results for other cell types as well. I don't know how to explain the results of other cell types. Looking forward to your reply and thanks for designing this well-done software!
The text was updated successfully, but these errors were encountered: