edgeR batch correction
Hi all,
I have 2 groups (experiment vs control) 4 samples per each group. The setup is like this:
I did MDS plot to see how my samples are clustered.
Considering that experimental (hypoxic) replicates are far from each other, do I need to do batch correction here? If yes, what would be best approach here? I would appreciate any help/explanation of what's happening here. Thank you!
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Do you have batches? With so few samples, I think you just have to roll with what you've got. You have variance in your treatment, and you can't magic that away.
You see grouping of 2/3 away from 1/4 regardless of treatment, so this could be a batch effect. @OP, try to remove the batch effect from the logcpms using
limma::removeBatchEffectas a diagnostic and then repeat the MDS plot on these corrected data. If this shows better clustering then you may consider adding the batch variable (here that would be something likepaste0("batch", c(1,2,2,1,1,2,2,1))into the design.Thank you!