Evaxion Biotech, Copenhagen, Denmark.
Methods Mol Biol. 2024;2809:87-99. doi: 10.1007/978-1-0716-3874-3_6.
Knowledge of the expected accuracy of HLA typing algorithms is important when choosing between algorithms and when evaluating the HLA typing predictions of an algorithm. This chapter guides the reader through an example benchmarking study that evaluates the performances of four NGS-based HLA typing algorithms as well as outlining factors to consider, when designing and running such a benchmarking study. The code related to this benchmarking workflow can be found at https://github.com/nikolasthuesen/springers-hla-benchmark/ .
了解 HLA 分型算法的预期准确性对于在算法之间进行选择以及评估算法的 HLA 分型预测时非常重要。本章通过一个示例基准测试研究,指导读者评估四种基于 NGS 的 HLA 分型算法的性能,并概述在设计和运行此类基准测试研究时需要考虑的因素。此基准工作流程相关的代码可以在 https://github.com/nikolasthuesen/springers-hla-benchmark/ 找到。