Hello,
I have scRNA data. I pretend to contextualise my data with bulk RNA, i.e., merge scRNA with bulk RNA. My idea is to comprise all my cells from scRNA into a single point, and then merge that data with bulk RNA data. I've done the first step by calculating the mean of all the cells from scRNA, resulting in a single point. I have gathered bulk RNA, as FASTQ data, from a database. Then aligned, and extracted the counts through RSEM.
My problem is that the data don't match up. This is because scRNA uses UMI, which approaches gene counting differently from RSEM's expected or TPM counts.
I don't know how to normalise the two types of data to be able to compare them. I don't even know if it's possible. If someone could help me, or just give me a tip, that would be great!
Thank you in advance!
Sometimes I just don't understand why people think they can normalize everything...
While I agree with the statement, it would be more productive to explain why this is not possible here ;-)
Cos scRNASeq and bulk RNASeq differs from the very beginning, and it's highly expected that the batch effect is more than the biological effect. And, there is no way to distinguish batch effect from the biological effect in this comparison.