I would like to simulate a dataset with two distinct groups of cells, and with the desired amount of DE genes if possible. In my case, I just want to test a method whether its performance is sensitive with a series of the increasing number of DE genes. For example, I would like to simulate a dataset of 500 cells and 5000 genes which has only two groups, with 150 DE genes and other non-DE genes. The number of non-DE genes is not necessarily equal to 5000 - 150 = 4850. According to the partition of genes, the dataset can be divided into two smaller datasets, which share the same cells. A serial number of DE genes, i.e., 50,60,70,...150 genes are gradually planted to the other dataset that only contains non-DE genes, to check whether the performance of a given method is sensitive to the varying DE genes.
My question is how to use splatter to solve this problem? If not, can I use other packages combined with splatter to get my purpose?