How to do statistic test for fold change considering the expression level at the same time

0

Entering edit mode

6.0 years ago

xidianbill ▴ 10

I have a set of gene expression in two cell compartments. And I define that a gene is accumulated in one compartment if the expression fold change is larger than 2. But the reviewer thinks it's not meaningful in all cases, for example the expression levels are low in both compartments. And he recommand me to do some statistic test. I wonder what kind of test should I do?

PS: the expression data have no redundance for the a gene.

Thanks anyway.

statistic • 1.9k views

ADD COMMENT • link 6.0 years ago by xidianbill ▴ 10

1

Entering edit mode

By "no redundnace for a gene" do you mean you have no biological replicates? Are you purely thresholding by fold-change and really not using a p-value as well?

ADD REPLY • link 6.0 years ago by Devon Ryan 104k

0

Entering edit mode

I'm afraid yes. Every gene only have a expression value in each cell compartment.

ADD REPLY • link 6.0 years ago by xidianbill ▴ 10

0

Entering edit mode

To be honest, you can't hope to get this through review. The experiment was fatally flawed from the beginning. Remove this from your manuscript.

ADD REPLY • link 6.0 years ago by Devon Ryan 104k

Login before adding your answer.