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Controlling for covariates in DE analysis of single cell rna seq data

Dear Community,

I have human data from different ages and gender. After using integration with seurat, how would I best control for these confounding factors during differential gene expression. I see the option of latent.vars in FindMarkers function. Can I give latent.vars = c("Age", "gender") to account for both together? or can I only use one at a time?

Is there alternative packages to do the test better? Kindly advice, Kind regards, Saeed

scrna seq latent.vars seurat differential

Can you give some details what you are comparing and what the setup is?

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