Recent years have seen an increase in the availability of pharmacogenomic databases such as Genomics of Drug Sensitivity in Cancer (GDSC) and Cancer Cell Line Encyclopedia (CCLE) that provide genomic and functional characterization information for multiple cell lines. Studies have alluded to the fact that specific characterizations may be inconsistent between different databases. Analysis of the potential discrepancies in the different databases is highly significant, as these sources are frequently used to analyze and validate methodologies for personalized cancer therapies. In this article, we review the recent developments in investigating the correspondence between different pharmacogenomics databases and discuss the potential factors that require attention when incorporating these sources in any modeling analysis. Furthermore, we explored the consistency among these databases using copulas that can capture nonlinear dependencies between two sets of data.

中文翻译：

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评估大规模药物基因组学研究的一致性。

近年来，药物基因组数据库的可用性有所增加，例如癌症药物敏感性基因组学 (GDSC) 和癌细胞系百科全书 (CCLE)，它们为多种细胞系提供基因组和功能表征信息。研究暗示了这样一个事实，即不同数据库之间的特定特征可能不一致。对不同数据库中潜在差异的分析非常重要，因为这些来源经常用于分析和验证个性化癌症治疗的方法。在本文中，我们回顾了调查不同药物基因组学数据库之间对应关系的最新进展，并讨论了在将这些来源纳入任何建模分析时需要注意的潜在因素。此外，