- Thread starter GraceIncyte
- Start date

probably t-test on the change from baseline, or log fold-change. thing is what do you mean by 'overall change'? does that mean any is different?

Model 1:

(1) Calculate the fold change at Week4 from Baseline for each gene and each patient

(2) Calculate the Mean of (1) over the 40 genes for each patient

(3) Compare Treatment A vs. Treatment B groups on (2) via t-test

Model 2:

(1) Calculate the GeometricMean of the 40 genes for each patient at Baseline and Week4, respectively

(2) Use two-way ANOVA (Time X Treatment) to assess if the difference exists between Treatment A and B on the GeometricMean.

Any advice?

Thanks!

I think bioinformatics types basically run t-tests as you describe above and then apply post-hoc adjustment, i think 'false discovery rate' control is still in vogue.

sorry im not real big on bioinformatics.