Additional file 5 of Exploration of predictive and prognostic alternative splicing signatures in lung adenocarcinoma using machine learning methods

Additional file 5: Table S5. Feature importances and selection results presented by Boruta algorithm for the splicing events differentiating normal and tumor tissues.补充文件5：表S5。用于区分正常组织与肿瘤组织的剪接事件的特征重要性，以及由Boruta算法（Boruta algorithm）得出的特征筛选结果。