高通量技术的进步为研究人员提供了广泛的多组学数据，从而深入了解癌症生物学的复杂情况。然而，传统的统计模型和数据库不足以在多组学框架内解释这些高维数据。为了解决这一限制，我们引入了 DriverDBv4，这是 DriverDB 癌症驱动基因数据库 (http:////driverdb.bioinfomics.org//) 的更新版本。此更新版本提供了几项重大增强：(i) 队列数量从 33 个增加到 70 个，涵盖约 24 000 个样本； (ii) 纳入蛋白质组学数据，扩充现有的组学数据类型，从而扩大分析范围； (iii) 实施多种多组学算法来识别癌症驱动因素； (iv) 新的可视化功能旨在简洁地总结高上下文数据，并重新设计现有部分以适应不断增加的数据集量；(v) 定制分析中的两个新功能，专门为多组学驱动识别和亚组表达分析而设计。 DriverDBv4 有助于对不同癌症类型的多组学数据进行全面解释，从而丰富对癌症异质性的理解并帮助开发个性化临床方法。该数据库旨在促进对癌症多方面本质的更细致的了解。© 作者 2023。由牛津大学出版社代表 Nucleic Acids Research 出版。

Advancements in high-throughput technology offer researchers an extensive range of multi-omics data that provide deep insights into the complex landscape of cancer biology. However, traditional statistical models and databases are inadequate to interpret these high-dimensional data within a multi-omics framework. To address this limitation, we introduce DriverDBv4, an updated iteration of the DriverDB cancer driver gene database (http:////driverdb.bioinfomics.org//). This updated version offers several significant enhancements: (i) an increase in the number of cohorts from 33 to 70, encompassing approximately 24 000 samples; (ii) inclusion of proteomics data, augmenting the existing types of omics data and thus expanding the analytical scope; (iii) implementation of multiple multi-omics algorithms for identification of cancer drivers; (iv) new visualization features designed to succinctly summarize high-context data and redesigned existing sections to accommodate the increased volume of datasets and (v) two new functions in Customized Analysis, specifically designed for multi-omics driver identification and subgroup expression analysis. DriverDBv4 facilitates comprehensive interpretation of multi-omics data across diverse cancer types, thereby enriching the understanding of cancer heterogeneity and aiding in the development of personalized clinical approaches. The database is designed to foster a more nuanced understanding of the multi-faceted nature of cancer.© The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research.