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I've been trying to apply xCell to some data that has batch effect issue across groups of interest. I wonder if aggregated data containing those from different batches without batch correction could be used as input for xCell scoring and if downstream comparison of a cell-type score across groups could still be reliable. The manuscript touched briefly on the robustness against batch effect in the discussion. I'd appreciate your insights.
In addition, related to a previous issue (#26), I wonder if xCell could be applied to non-human species, such as rats, mice, and ferrets.
Thank you!
The text was updated successfully, but these errors were encountered:
Regarding batch effects - xCell uses gene expression ranks and not the levels themselves. This means that different normalization and batch effect corrections will have little effect on the xCell analysis.
Regarding non-human, I don't recommend it, it is not trained for non-human species. However, I know that some groups got ok results with the current version of xCell in other primates and mice.
Hi,
I've been trying to apply xCell to some data that has batch effect issue across groups of interest. I wonder if aggregated data containing those from different batches without batch correction could be used as input for xCell scoring and if downstream comparison of a cell-type score across groups could still be reliable. The manuscript touched briefly on the robustness against batch effect in the discussion. I'd appreciate your insights.
In addition, related to a previous issue (#26), I wonder if xCell could be applied to non-human species, such as rats, mice, and ferrets.
Thank you!
The text was updated successfully, but these errors were encountered: