Additional file 10 of EARN: an ensemble machine learning algorithm to predict driver genes in metastatic breast cancer
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Additional file 10: Table S46. The common/specific enriched pathways for BRCA and MBCA using ReactomeFIVIz (FDR < 0.03). Table S47. The comparison of results among averaging model of EARN and majority voting model
补充文件10：表S46。基于ReactomeFIVIz分析得到的BRCA与MBCA共有的/特异性富集通路（错误发现率（False Discovery Rate, FDR）< 0.03）。表S47：EARN平均模型与多数投票模型的结果对比
创建时间：
2021-05-07
