Table 2 Summary of model diagnostics and differential expression for each method when applied to the real RNA-Seq data from the case study
From: lmerSeq: an R package for analyzing transformed RNA-Seq data with linear mixed effects models
| Â | lmerSeq | DREAM | rmRNAseq |
|---|---|---|---|
Singular fits | 200 (1.5%) | 96 (0.7%)* | Not available |
Levene’s test for heteroskedsticity |  |  |  |
 p vaule \(<0.05\) | 206 (1.6%) | 149 (1.1%) | Not available |
 BH adjusted p value \(<0.05\) | 0 | 0 | Not available |
Kolmogorov–Smirnov test for normality |  |  |  |
 p value \(<0.05\) | 24 (0.2%) | 17 (0.1%) | Not available |
 BH adjusted p value \(<0.05\) | 0 | 0 | Not available |
Number of DEGs | Â | Â | Â |
 48 h versus baseline | 1 | 0 | 0 |
 1 week versus baseline | 1452 | 1828 | 142 |
 1 week versus 48 h | 362 | 476 | 182 |