Identifying cancer driver mutations is essential to understand disease biology and devise effective therapies, but remains a complex endeavor. A focused analytical approach is now presented that defines driver mutations affecting ubiquitin-mediated proteolysis through machine learning and mining of cancer multi-omics data.

中文翻译：

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在 UPS 系统中寻找癌症驱动因素

识别癌症驱动突变对于了解疾病生物学和设计有效的治疗方法至关重要，但仍然是一项复杂的工作。现在提出了一种重点分析方法，该方法通过机器学习和癌症多组学数据的挖掘来定义影响泛素介导的蛋白水解的驱动突变。