Hi, guys,
My interest is to ask whether a gene is differentially expressed between group A and group B.
but the experiment design is unbalanced as follow:
A1, A2, A3, B1_repeat1, B1_repeat2, B2_repeat1, B2_repeat2.
So, group A contains 3 samples, but group B contains only two samples, and each have two biological replicates.
I have used the edgeR to fit a generalized linear models (GLMs). But a review says that it may be not appropriate to manage the biological replicates in group B in this way.
My questions are:
What is the most proper way to manage the biological replicates? Is a mixed effect model suitable is this case?
Thank your very much for you time, any suggestion would be greatly appreciated.
My interest is to ask whether a gene is differentially expressed between group A and group B.
but the experiment design is unbalanced as follow:
A1, A2, A3, B1_repeat1, B1_repeat2, B2_repeat1, B2_repeat2.
So, group A contains 3 samples, but group B contains only two samples, and each have two biological replicates.
I have used the edgeR to fit a generalized linear models (GLMs). But a review says that it may be not appropriate to manage the biological replicates in group B in this way.
My questions are:
What is the most proper way to manage the biological replicates? Is a mixed effect model suitable is this case?
Thank your very much for you time, any suggestion would be greatly appreciated.
Comment