Entering edit mode
Stephanie Hicks
▴
80
@stephanie-hicks-7843
Last seen 4.3 years ago
USA/Baltimore/Johns Hopkins
Hi,
I have N=44 WGBS samples from purified cell types from whole blood samples. I'm interested in identifying DMRs for six purified cell types (DMR in Bcell vs else, CD4T vs else, etc), but I have unequal sample sizes in each group:
> table(pheno_table$cell_type)
Bcell CD4T CD8T Gran Mono NK
4 12 4 14 6 4
My two questions are:
(1) Will the unequal sample sizes be a problem for dmrseq
?
(2) My understanding based on reading the dmrseq
vignette is that I can give testCovariate
a multi-level factor variable with 6 levels. Is it possible to give any other design matrix?
Thank you! Stephanie
Hi Stephanie,
Thanks for your questions.
(1) First, the unequal sample sizes per group are not a problem;
dmrseq
does not assume equal sample sizes in each level. You will need to filter out any sites that are not covered in at least two samples per group however.(2) Yes, you are correct. You can pas in a multilevel factor variable as the
testCovariate
. You may also add in covariate(s) you wish to adjust for inadjustCovariate
.Hope that helps, and please let me know if you have any further questions.