Table 2.
The 37 transcripts selected for classification model training
| Gene | Gene ID | Accession # | Training Cohort | Testing Cohort | ||||
|---|---|---|---|---|---|---|---|---|
| Acc | Sen | Spe | Acc | Sen | Spe | |||
| AC011380.1 | – | AC011380 | 0.56 | 0.64 | 0.51 | 0.58 | 0.69 | 0.50 |
| C1QL1† | 10882 | NM_006688.5 | 0.80 | 0.56 | 0.96 | 0.93 | 0.88 | 0.96 |
| CCDC42B | 387885 | NM_001144872.2 | 0.59 | 0.05 | 0.96 | 0.65 | 0.19 | 0.96 |
| CEP295NL† | 100653515 | NM_001243541.1 | 0.71 | 0.59 | 0.80 | 0.80 | 0.56 | 0.96 |
| CERS4† | 79603 | NM_024552.3 | 0.79 | 0.72 | 0.84 | 0.85 | 0.88 | 0.83 |
| CLP1 | 10978 | NM_006831.3 | 0.57 | 0.00 | 0.98 | 0.58 | 0.00 | 0.96 |
| DCUN1D1 | 54165 | NM_020640.3 | 0.57 | 0.00 | 0.98 | 0.60 | 0.00 | 1.00 |
| EIF4EBP3 | 8637 | NM_003732.3 | 0.47 | 0.26 | 0.62 | 0.68 | 0.69 | 0.67 |
| FLT1 | 2321 | NM_002019.4 | 0.52 | 0.00 | 0.89 | 0.50 | 0.00 | 0.83 |
| GBGT1† | 26301 | NM_021996.6 | 0.71 | 0.74 | 0.69 | 0.70 | 0.88 | 0.58 |
| GPR15† | 2838 | NM_005290 | 0.79 | 0.79 | 0.78 | 0.93 | 1.00 | 0.88 |
| GPR157 | 80045 | NM_024980.5 | 0.57 | 0.00 | 0.98 | 0.60 | 0.00 | 1.00 |
| GTF2B | 2959 | NM_001514.6 | 0.55 | 0.03 | 0.93 | 0.55 | 0.00 | 0.92 |
| HBB | 3043 | NM_000518.5 | 0.79 | 1.00 | 0.64 | 0.58 | 0.94 | 0.33 |
| HIST1H4E | 8367 | NM_003545.3 | 0.57 | 0.00 | 0.98 | 0.60 | 0.00 | 1.00 |
| HIST2H2AB | 317,72 | NM_175065.2 | 0.57 | 0.00 | 0.98 | 0.60 | 0.00 | 1.00 |
| ISY1 | 57461 | NM_001199469.1 | 0.60 | 0.05 | 0.98 | 0.65 | 0.13 | 1.00 |
| KIAA1324 | 57535 | NM_020775.5 | 0.59 | 0.05 | 0.96 | 0.55 | 0.06 | 0.88 |
| KIAA1614 | 57710 | NM_020950.2 | 0.63 | 0.15 | 0.96 | 0.63 | 0.06 | 1.00 |
| LOC100129697 | 100129697 | NM_001290330.2 | 0.65 | 0.26 | 0.93 | 0.58 | 0.06 | 0.92 |
| LOC105377284 | 105377284 | XR_938891.2 | 0.59 | 0.05 | 0.96 | 0.65 | 0.13 | 1.00 |
| LRRN3† | 54674 | NM_001099658.2 | 0.78 | 0.79 | 0.76 | 0.85 | 1.00 | 0.75 |
| MFSD6L | 162387 | NM_152599.3 | 0.67 | 0.59 | 0.73 | 0.65 | 0.50 | 0.75 |
| MORC3 | 23515 | NM_015358.3 | 0.57 | 0.00 | 0.98 | 0.60 | 0.00 | 1.00 |
| MTRNR2L1 | 100462977 | NM_001190452.1 | 0.57 | 0.03 | 0.96 | 0.60 | 0.00 | 1.00 |
| NECAB1 | 64168 | NM_022351.5 | 0.62 | 0.15 | 0.95 | 0.58 | 0.06 | 0.92 |
| NEIL3 | 55247 | NM_018248.3 | 0.57 | 0.00 | 0.98 | 0.60 | 0.00 | 1.00 |
| PDCD10 | 11235 | NM_007217.4 | 0.57 | 0.00 | 0.98 | 0.60 | 0.00 | 1.00 |
| PGM5 | 5239 | NM_021965.4 | 0.55 | 0.00 | 0.95 | 0.50 | 0.00 | 0.83 |
| RFFL | 117584 | NR_037713.1 | 0.57 | 0.00 | 0.98 | 0.58 | 0.00 | 0.96 |
| SDCBP2 | 27111 | NM_080489.5 | 0.71 | 0.33 | 0.98 | 0.65 | 0.31 | 0.88 |
| SMIM8 | 57150 | NM_001042493.3 | 0.57 | 0.03 | 0.96 | 0.50 | 0.00 | 0.83 |
| SYP | 6855 | NM_003179.2 | 0.59 | 0.05 | 0.96 | 0.63 | 0.13 | 0.96 |
| TGS1† | 96764 | NM_024831.7 | 0.80 | 0.79 | 0.80 | 0.78 | 0.94 | 0.67 |
| TMC4 | 147798 | NM_001145303.2 | 0.64 | 0.49 | 0.75 | 0.63 | 0.44 | 0.75 |
| USF1 | 7391 | NM_007122.5 | 0.59 | 0.03 | 0.98 | 0.60 | 0.06 | 0.96 |
| UTY | 7404 | NM_182660.1 | 0.57 | 0.00 | 0.98 | 0.60 | 0.00 | 1.00 |
Acc accuracy, Sen sensitivity, Spe specificity
We show the per-transcript performance in the training and testing dataset. Transcripts with high accuracy (> 0.70) in both training and testing cohorts are denoted by †