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Greetings folks
I've seen lots of scRNAseq work at my institution and others where people neglect to account for the fact that their cells have originated from multiple individuals. They sort of just throw all the cells together and then run their differential expression analysis with Seurat or whatever. Have you folks come across examples where people are a bit more careful about this, maybe using a random effects model (random offset for each individual) or a factor covariate? Tutorials, walkthroughs, and links to rants would be equally acceptable. Thanks!
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