How to process batches to be able to correct for its effect
0
0
Entering edit mode
2.6 years ago
paria ▴ 90

Hi everyone,

I'm working on the ALS patients and comparing cases and control of this disorder. I already did single nucleus RNA sequencing for my controls (which were randomized with the samples from different region of case and controls of the same patients and some controls). Now, I would like to do the single cell RNA seq for my controls. But I'm worried that for downstream analysis it could be complicated as for batch correction. I really appreciate if anybody has any experience like this or any recommendation. I have the option to process one of the cases with these samples once more. I was wondering if it worth to do so.

I appreciate any comments

batch-correction sample-randomization • 814 views
ADD COMMENT
0
Entering edit mode

Out of curiosity why are you performing both snRNA-seq and scRNA-seq on your control samples?

ADD REPLY
0
Entering edit mode

Sorry, I meant sn-RNA sequencing by single cell. I did just sn-RNA seq.

ADD REPLY
1
Entering edit mode

Integration of datasets generally mitigates many of the effects of batch in standard single-cell analysis. See chapters 13 (and additionally 7) in OSCA, or the Seurat integration vignette.

ADD REPLY

Login before adding your answer.

Traffic: 2159 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6