Geographic encoding of transcripts enabled high-accuracy and isoform-aware deep learning of RNA methylation.

As shown in Figure 7 , the distances to both exon boundaries remain in the top 3 most important features in landmarkTX in all three region types and show a clear trend that the higher the distance, the more likely the model predicts the site as m 6 A modifiable.

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