RCTD method's cell type weights doesn't sum to 1

[Lahiru-lsb]

Hi,

I'm using the RCTD method for cell type deconvolution. When I apply RCTD in both full and doublet modes, the results, which include the cell type weights for each pixel, don't sum up to 1. I thought these weights represent the cell type proportions for each spot (pixel), and so, shouldn't they add up to 1 for each pixel?

For further clarification, I have attached a screenshot of the output I obtained using the same codes and data provided by the vignette. In the below output, we can see that the proportions don't add to 1. I hope you can help me clarify this matter.

[dpcook]

Don't know enough to know exactly how to interpret differences in weight sums, but just note that this is mentioned in their vignette where they run the normalize_weights() function, which just seems to rescale each spot to sum to 1 with weight / sum(weights).