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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