Knowledge-primed neural networks enable biologically interpretable deep learning on single-cell sequencing data

Deep learning has emerged as a versatile approach for predicting complex biological phenomena. However, its utility for biological discovery has so far been limited, given that generic deep neural networks provide little insight into the biological mechanisms that underlie a successful prediction.