Table 2 Top 15 Variable Importance obtained through Glmnet and Random Forest algorithm. In addition, we have compared these results with a classical analysis aproach for differential expression analysis with edgeR package
From: Molecular docking and machine learning analysis of Abemaciclib in colon cancer
| Glmnet | Random Forest | edgeR |
|---|---|---|
| GLTP | GLP2R | CDH3 |
| CDH3 | GLTP | GLP2R |
| MUSK | IL6R | VEGFA |
| SCARA5 | SCARA5 | MUSK |
| NR3C2 | NR3C2 | PKIB |
| GLP2R | CDH3 | SCARA5 |
| EPB41L3 | METTL7A | PMEPA1 |
| PKIB | MUSK | FABP6 |
| IL6R | PKIB | RHEB |
| METTL7A | EPB41L3 | IL6R |
| CITED2 | CITED2 | NR3C2 |
| VEGFA | VIP | VIP |
| FABP6 | FABP6 | EPB41L3 |
| VIP | VEGFA | GRIP2 |
| RIMKLB | HES5 | METTL7A |