Open access
Sep 2026
BioTester: an AI-driven automated testing framework for identifying potential quality risks in bioinformatics software
Abstract Bioinformatics software plays a critical role in clinical applications such as cancer screening and genetic disease diagnosis, where comprehensive quality management is essential for ensuring the accuracy and reliability of downstream analysis. However, current validation practices rely heavily on manually des...
Xin Lian, Jia-Yin Wang, Xiao-Yi Zhu et al.
· Briefings in Bioinformatics · 0 citations