Enformer predicts gene expression by utilizing a Transformer-based architecture with self-attention mechanisms.
This innovative approach allows Enformer to process and understand extensive DNA sequences, considering long-range interactions crucial in genomics.
The self-attention mechanisms enable the model to focus on different parts of the input sequence when making predictions, capturing intricate relationships within the DNA.