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We are designing a model using CNN+GCN to predict the likely degradation rates at each base of an RNA molecule, trained on a subset of an Eterna dataset comprising over 3000 RNA molecules (which span a panoply of sequences and structures) and their degradation rates at each position. We will then score our models on a second generation of RNA se…

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We are designing a model using CNN+GCN to predict the likely degradation rates at each base of an RNA molecule, trained on a subset of an Eterna dataset comprising over 3000 RNA molecules (which span a panoply of sequences and structures) and their degradation rates at each position. We will then score our models on a second generation of RNA se…

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