“…Recently, the development of deep neural networks (DNNs) has provided the computational power to resolve complex biological problems using data-driven approaches with the vast trove of data available from the biomedical research community. However, it is still challenging for a DNN-based algorithm to deliver consistent performance under different experimental conditions due to statistical bias between training and actual data ( Tegner and Gomez-Cabrero, 2022 ).…”