Article

Graph Convolutional Network for predicting secondary structure of RNA

2024-02-23

Abstract excerpt

<title>Abstract</title> <p>The prediction of RNA secondary structures is essential for understanding its underlying principles and applications in diverse fields, including molecular diagnostics and RNA-based therapeutic strategies. However, the complexity of the search space presents a challenge. This work proposes a Graph Convolutional Network (GCNfold) for predicting the RNA secondary structure. GCNfold consid...

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Literature Corpus work: 9bcf415f-ec27-58f0-b7bf-d8658a234c82
DOI: 10.21203/rs.3.rs-3798842/v1

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