Fig. 4: BE-DICT attention patterns for edited target bases. | Nature Communications

Fig. 4: BE-DICT attention patterns for edited target bases.

From: Predicting base editing outcomes with an attention-based deep learning algorithm trained on high-throughput target library screens

Fig. 4

Attention weight is indicated by color from light to dark. Mean-aggregate attention scores of target sequences (BE-DICT test dataset) predicted to be edited at the respective position for a ABEmax, b CBE4max, c ABE8e, and d Target-AID are shown. The number of sequences used for the analysis of the respective target base position is indicated as n.

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