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Batch effects in input data and reliability of applying xCell to non-human species #51

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cwang131 opened this issue Nov 5, 2020 · 2 comments

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@cwang131
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cwang131 commented Nov 5, 2020

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!

@dviraran
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dviraran commented Nov 7, 2020

Hi,

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.

Best,
Dvir

@cwang131
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cwang131 commented Nov 7, 2020

Thank you very much for your help! I really appreciate it.

@cwang131 cwang131 closed this as completed Nov 7, 2020
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