Hi, I have a single cell RNA seq dataset where I have several samples either control or treated, these samples contain several populations. I want to assess which cell population is most affected by the treatment. To give you an idea, I thought to: 1- Identify the highly variable genes. 2- For each group (control vs treated) compute the average expression of each pupulation for each of the variable genes. 3- For each cell population, compute the sum of the Log FC of the variable genes, let's name this: SFC The cell population with the highest SFC is the one most affected by the treatment. If cell population A is not affected by the treatment, SFC would be close to zero as ; the log FC for all the variable genes in treated vs control would be 0.
Is it a correct way to assess how much the treatment affects each population and do you have other ideas to achieve this? Thanks
