Our data set contains 10 samples from three different conditions (We also have other timepoints, for now we are though only interested in what happens at the beginning). The metadata is as such:
sampleName condition time urea weight C20 CTRL0h 0h 8.0 8.0 C22 CTRL0h 0h 8.0 8.0 C24 CTRL0h 0h 8.0 8.0 HP11 HP0h 0h 2.0 5.0 HP12 HP0h 0h 4.0 5.0 HP14 HP0h 0h 5.0 7.0 CR4Wo1 CR4W0h 0h 2.0 3.0 CR4Wo2 CR4W0h 0h 2.0 2.0 CR4Wo3 CR4W0h 0h 2.0 1.0 CR4Wo4 CR4W0h 0h 2.0 2.0
We would like to apply a linear (mixed) model to the data set to understand how the two factors
weight affects gene expression. But I'm not sure if this is possible at all here with the samples we have, as I don't have a complete set of combinations for the two factors i would like to analyze. Do I need to have more samples in able to do that?
I would appreciate any ideas/help as to how i can (if at all) apply such analysis to the data I have.
thanks in advance Assa