Cancer biomarker research has become a data-intensive discipline requiring innovative approaches for data analysis that can combine traditional and data-driven methods. Significant leveraging can be done transferring methodologies and capabilities across scientific disciplines, such as planetary science and astronomy, each of which are grappling with and developing similar solutions for the analysis of massive scientific data.

中文翻译：

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癌症生物标志物和大数据：行星科学方法

癌症生物标志物研究已成为数据密集型学科，需要能够将传统方法和数据驱动方法相结合的创新数据分析方法。可以在诸如行星科学和天文学之类的各个科学学科之间转移方法和能力，从而发挥重要的杠杆作用，它们各自都在为海量科学数据的分析而奋斗并开发类似的解决方案。