Comments (2)
The base_level:
is only meant for calculating fold changes in expression. And this usually only makes sense against some control condition, like a set of untreated
samples in the example. Thus, you can only have one base_level
per model that you compare against. You could hack around this, by specifying the same model twice, only differing in the base_level
that you specify. But you then have to double-check that your comparisons both make sense.
I hope that helps?
That said, maybe you want to do something else, e.g. do multiple group comparisons. For that, you can have any number of levels in the primary_variable:
column (condition
in the example). So you could for example have values genotype_X
, genotype_Y
, and genotype_Z
in the respective column of your samples.tsv
.
And if you want to understand more details about the differential expression testing, you could check out the sleuth
documentation:
https://pachterlab.github.io/sleuth/walkthroughs
from rna-seq-kallisto-sleuth.
Thanks a lot! Much appreciate! Best!
from rna-seq-kallisto-sleuth.
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