Table 4 Candidate tumor gene biomarkers of glioma
From: Gene biomarker prediction in glioma by integrating scRNA-seq data and gene regulatory network
Ranking | Candidate tumor gene biomarkers | Score* | PubMed ID |
|---|---|---|---|
1 | ATP6V0B | 0.825678 | – |
2 | GUK1 | 0.816174 | 11156382 |
3 | MRPL20 | 0.774609 | – |
4 | RAB30 | 0.718324 | 24080485 |
5 | NDUFS5 | 0.712145 | 31747975 |
6 | TMEM160 | 0.710739 | – |
7 | ZNF195 | 0.70465 | – |
8 | DDRGK1 | 0.69812 | – |
9 | ARF5 | 0.691213 | – |
10 | MRPL41 | 0.690842 | 28351326 |
11 | NDUFA1 | 0.685764 | 29211022 |
12 | GOLIM4 | 0.683062 | – |
13 | COX5B | 0.682042 | 29180880 |
14 | NDUFA13 | 0.681426 | 31747975 |
15 | NDUFB8 | 0.675849 | 29928884 |
16 | NCOA4 | 0.673071 | – |
17 | ARL2 | 0.659971 | 29843637 |
18 | SDHB | 0.645852 | 29890994 |
19 | ROGDI | 0.645402 | – |
20 | BMPR1A | 0.643674 | 26683138 |