De novo prediction of RNA–protein interactions with graph neural networks

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FIGURE 1.
FIGURE 1.

Pictorial representation of the framework presented in this paper: the raw data is transformed to obtain node features, positive and negative interactions, which serve as input for the GNN. The trained model is used for making predictions as shown using the genome tracks.

This Article

  1. Published in Advance August 25, 2022, doi: 10.1261/rna.079365.122 RNA 28: 1469-1480

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