Table 5.
Partitioning contribution statistics by likelihood ratio tests of eight selected biomarkers via bootstrap forest modeling of sample classification under seven inferred MOA clusters with reference gene lists at different tiers of statistical stringency (mode-of-action training RNAseq dataset, TGxSEQC; GEO accession number: GSE55347).
| Gene Symbol | 1,510 DEGREEs | 65 Profiler DEGREEs | 8 Biomarkers | Statistic |
|---|---|---|---|---|
| Ucp3 | 8.4178 | 14.2830 | 14.5505 | G2 |
| (9.89%) | (17.12%) | (22.92%) | (G2gene/G2total, %) | |
| 1 | 1 | 1 | Rank by G2 [highest: 1] | |
| 0.2091 | 0.0266 | 0.0241 | p-value [df: MOA Clusters-1] | |
| Tmem86b | 0.0000 | 2.4276 | 8.5938 | |
| (0.00%) | (2.91%) | (13.54%) | ||
| 1363 | 6 | 2 | ||
| 1.0000 | 0.8765 | 0.1977 | ||
| Hadhb | 0.3465 | 1.4197 | 8.3181 | |
| (0.41%) | (1.70%) | (13.11%) | ||
| 83 | 20 | 3 | ||
| 0.9992 | 0.9647 | 0.2157 | ||
| Gsdmd | 0.0000 | 0.1950 | 7.5273 | |
| (0.00%) | (0.23%) | (11.86%) | ||
| 603 | 50 | 4 | ||
| 1.0000 | 0.9999 | 0.2748 | ||
| Acaa1b | 0.0000 | 2.3052 | 7.3439 | |
| (0.00%) | (2.76%) | (11.57%) | ||
| 142 | 9 | 5 | ||
| 1.0000 | 0.8896 | 0.2902 | ||
| Acaa1a | 0.4146 | 2.1847 | 6.5803 | |
| (0.49%) | (2.62%) | (10.37%) | ||
| 61 | 12 | 6 | ||
| 0.9987 | 0.9020 | 0.3614 | ||
| Tfam | 0.0000 | 2.2218 | 6.3974 | |
| (0.00%) | (2.66%) | (10.08%) | ||
| 1331 | 10 | 7 | ||
| 1.0000 | 0.8982 | 0.3802 | ||
| Sugct | 0.0000 | 0.0000 | 4.1599 | |
| (0.00%) | (0.00%) | (6.55%) | ||
| 1308 | 56 | 8 | ||
| 1.0000 | 1.0000 | 0.6551 |