Table 1 Summary of simulated datasets

Number of datasets

10

Number of features per dataset

15,000

Sample sizes

3, 5, and 10 per group

(6, 10 and 20 total)

Model parameters

β_g1: Difference in log(expression) between

0 (all features)

treatment and control at baseline

β_g2: Change in log(expression) over time

0 (all features)

in the control group

β_g3: Difference in change in log(expression)

0 (80% of features)

over time between the treatment and

ES¹ (10% of features), -ES (10% of features)

control groups

β_g0, α_g, \(\sigma _{gb}^{2}\)

Drawn from an empirical distribution based on human

samples in real RNA-Seq data sets with repeated measures

Additional comparisons

β_g1+β_g3: difference in log(expression)

0 (80% of features)

between control and treatment at

ES (10% of features), -ES (10% of features)

follow-up

β_g2+β_g3: Change in log(expression)

0 (80% of features)

over time in the treatment group

ES (10% of features), -ES (10% of features)