Supplementary Tables and Figures. Figure S1. Definition of CanDrA score, category and significance. Figure S2. Evaluation of single descriptors by ROC AUC on GBM.S1 and GBM.S2. Shown are descriptors w

NIAID Data Ecosystem70

Additional file 13 of Comprehensive assessment of computational algorithms in predicting cancer driver mutations

癌症驱动突变预测

算法评估

Additional file 13. Performance metrics of 33 algorithms using the median scores as threshold to make binary predictions for benchmark 3.

Figshare2024-02-19 更新50

Additional file 3 of Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network

癌症驱动突变预测

图神经网络

Additional file 3: Table S2 "PR-AUC for five benchmark datasets".

Figshare2024-08-14 更新30

Performance of ENTPRISE for predicting cancer driver missense mutations in the COSMIC set.

资源简介：

Performance of ENTPRISE for predicting cancer driver missense mutations in the COSMIC set.

资源简介：

相关数据集