Copyright
©The Author(s) 2024.
World J Gastrointest Oncol. Jun 15, 2024; 16(6): 2555-2570
Published online Jun 15, 2024. doi: 10.4251/wjgo.v16.i6.2555
Published online Jun 15, 2024. doi: 10.4251/wjgo.v16.i6.2555
Figure 3 Random forest model and support vector machine model.
A: Reverse cumulative distribution of residual was plotted to show the residual distribution of random forest (RF) and support vector machine (SVM) model; B: Boxplots of residual was plotted to show the residual distribution of RF and SVM model; C: Receiver operator characteristic curves indicated the accuracy of the RF and SVM model; D: Gini index of the 7 N6-methyladenosine regulators with differences in Epstein-Barr virus-associated gastric cancer based on the RF model. RF: Random forest; SVM: Support vector machine; HNRNPA2B1: Heterogeneous nuclear ribonucleoprotein A2B1; IGF2BP1: Insulin like growth factor 2 binding protein 1; IGFBP1: Insulin like growth factor binding protein 1; LRPPRC: Leucine rich pentatricopeptide repeat containing; RBM15B: RNA Binding Motif Protein 15B; CBLL1: CBL proto-oncogene like 1; WTAP: Wilms tumor 1 associated protein.
- Citation: Zhang Y, Zhou F, Zhang MY, Feng LN, Guan JL, Dong RN, Huang YJ, Xia SH, Liao JZ, Zhao K. N6-methyladenosine methylation regulates the tumor microenvironment of Epstein-Barr virus-associated gastric cancer. World J Gastrointest Oncol 2024; 16(6): 2555-2570
- URL: https://www.wjgnet.com/1948-5204/full/v16/i6/2555.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v16.i6.2555