| Exponential | Poisson | Binomial | Normal |
---|
 |
fc
= 1
|
fc
= 3
|
fc
= 1
|
fc
= 3
|
fc
= 1
|
fc
= 3
|
fc
= 1
|
fc
= 3
|
| 0.051 | 0.742 | 0.004 | 0.116 | 0.047 | 1.000 | 0.050 | 1.000 |
+ 0.05 | 0.051 | 0.742 | 0.038 | 0.757 | 0.047 | 1.000 | 0.050 | 1.000 |
+ 0.5 | 0.051 | 0.742 | 0.044 | 0.943 | 0.047 | 1.000 | 0.050 | 1.000 |
| 0.975 | 1.000 | 0.045 | 1.000 | 0.048 | 1.000 | 0.003 | 1.000 |
| 0.055 | 0.773 | 0.047 | 0.881 | 0.047 | 1.000 | 0.050 | 1.000 |
| 0.975 | 1.000 | 0.045 | 1.000 | 0.048 | 1.000 | 0.003 | 1.000 |
EBA | 0.051 | 0.781 | 0.048 | 1.000 | 0.047 | 1.000 | 0.052 | 1.000 |
edger | NA | NA | 0.033 | 1.000 | 0.014 | 1.000 | NA | NA |
DESeq | NA | NA | 0.042 | 1.000 | 0.047 | 1.000 | NA | NA |
- The exponential distribution has rate parameter 1/4000, the Poisson has rate parameter 3, the binomial has size 10000; and the normal has mean 10 and standard deviation 2. Each entry is proportion of times the null hypothesis was rejected at α = 0.05, out of 1000 simulations. The null hypothesis of no differential expression is equivalent to a fold change of one (fc = 1). When the fold change is three, we are calculating the power to detect differential expression (fc = 3). Tables for other distributional parameters may be found in Additional file 1. These tables also include a greater range of sample sizes and fold changes.