Cancer Driver Catalog

After evaluating the performance of 12 computational methods using datasets of PCAWG and TCGA, the website integrated the genes, corresponding possibility scores, and the rank of gene in the candidate driver gene list predicted by 12 computational methods using 6 network datasets (for network-based methods) across pan-cancer and 36 cancer types in this website.本网站首先基于泛癌症全基因组分析（Pan-Cancer Analysis of Whole Genomes, PCAWG）与癌症基因组图谱（The Cancer Genome Atlas, TCGA）的数据集，完成了12种计算方法的性能评估；随后整合了覆盖泛癌种及36种癌症类型的以下数据：由这12种计算方法（其中基于网络的方法使用了6个网络数据集）预测得到的候选驱动基因列表中的基因、对应概率得分，以及各基因在该列表中的排名。