Hi, I'm going to discovery eQTL from single cell RNA-seq dataset based on droplet platform. There are many NAs in my phenotype data, like 10% NA within a single feature(gene), and I'm wondering which imputation method should be appropriate, btw, there are around 400 samples in my data.
And I'm wondering what if I make NA to be 0 after inverse normal transform or before inverse normal transform is that OK?
Thanks!
Hi, I'm going to discovery eQTL from single cell RNA-seq dataset based on droplet platform. There are many NAs in my phenotype data, like 10% NA within a single feature(gene), and I'm wondering which imputation method should be appropriate, btw, there are around 400 samples in my data. And I'm wondering what if I make NA to be 0 after inverse normal transform or before inverse normal transform is that OK? Thanks!