Interpretation of PVCA result and what to correct for
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@sebastian-hesse-18351
Last seen 2.2 years ago
Germany / Munich / Dr.von Hauner Childr…

Thanks to PVCA I finally found a tool to check the effect of all my suspected confounders I annotated in my proteome project.

But now my problem is that I don't really know what to correct for and what to better leave.

https://ibb.co/bUCX4f

 

First, should I now remove all major effects (eg data.processed, amountOfCells, Gender, Age) ?
Do I need to take special care of the covariates (eg: sample-origin:age.in.years?

Which package would you recommend to use for correction?

Thanks a lot!
Sebastian

 

pvca batch effect batch effect correction • 332 views
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