What statistical approaches are available to assess changes in cluster compositions across treatment groups? I understand this is an active area of research, and as a result, I am not finding too much on the topic. I came across one paper, scDC: single cell differential composition analysis, which uses bootstrap resampling to calculate cell-type proportions with confidence intervals. Does anyone know of other statistical approaches to this problem? If so, what is the best accepted method at the moment?