Before revision: Deep learning based approaches have proven promising to model omicsdata. However, one of the current limitations compared to statistical and traditional machine learning approaches is the lack of explainability, which not only reduces the reliability, but limits the potential for acquiring novel knowledge from unpicking the " black-box "  models.
After revision: The lack of explainability is one of the most prominent disadvantages of deep learning applications in omics. This " black-box " models.