How to compare the multiple single cell data when significant difference in nFeature_RNA and nCount_RNA
Hi, I have three single cell data and I am performing integrated analysis. The problem one data (DA) is showing significant high number of nFeature and nCount. The integrated data looks good but the differential expression analysis of DA vs DV or DA vs SV are giving very large number of differentially expressed genes. Is there any way I can normalize the large number of gene expression in DA dataset? please give your suggestions. Thanks.
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