Research Paper Volume 12, Issue 20 pp 20471—20482
Development of a susceptibility gene based novel predictive model for the diagnosis of ulcerative colitis using random forest and artificial neural network
Figure 6. The screening results of the top-30 UC-related DEGs by random forest classifier. All the genes are sorted by the value of “Mean Decrease Accuracy” and “Mean Decrease Gini”. The greater the two values are, the closer relationship with UC the DEG has.