Interpretable deep learning in single-cell omics.
Manoj M WagleSiqu LongCarissa ChenChunlei LiuPengyi YangPublished in: Bioinformatics (Oxford, England) (2024)
In this work, we introduce the basics of single-cell omics technologies and the concept of interpretable deep learning. This is followed by a review of the recent interpretable deep learning models applied to various single-cell omics research. Lastly, we highlight the current limitations and discuss potential future directions.