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Hello everyone!
I have been trying to find a way to select cells from scRNA-seq datasets that better represent the whole cluster in which they are embedded to annotate these groups. Does anyone do this? What are the best options to find these "central" cells in a cluster? To differentiate them from others that have other transitional states and annotate them.
Ad-hoc question: Also, I'd like to be able to check this with a dataset that has been annotated without clustering methods. So, if you know one that has been used for cluster validation, it would be useful.
Thank you for your time
I don't understand what "better" here means. In any case, this is not specific to Bioconductor so I suggest a post at biostars.org, describing better what you have in mind.