From: Differential expression analysis using a model-based gene clustering algorithm for RNA-seq data
Method | DEG1 | DEG2 | Non-DEG |
---|---|---|---|
edgeR | 1675 (− 1.677) | 2872 (1.911) | 47,363 (0.074) |
DESeq2 | 66 (− 1.520) | 52 (4.083) | 51,792 (0.117) |
TCC | 65 (− 1.935) | 123 (3.695) | 51,722 (0.113) |
MBCdeg1 (K = 3) | 1291 (− 1.742) | 3298 (1.800) | 47,321 (0.053) |
MBCdeg1 (K = 4) | 1291 (− 1.742) | 3393 (1.894) | 47,226 (0.043) |
MBCdeg1 (K = 5) | 1291 (− 1.742) | 3433 (1.889) | 47,186 (0.041) |
MBCdeg2 (K = 3) | 1291 (− 1.742) | 3209 (1.802) | 47,410 (0.056) |
MBCdeg2 (K = 4) | 1351 (− 1.694) | 3219 (1.802) | 47,340 (0.057) |
MBCdeg2 (K = 5) | 1329 (− 1.715) | 3302 (1.907) | 47,279 (0.046) |