Differentiable RNA Secondary Structure Extraction for Deep Learning
Many deep learning approaches to RNA secondary structure prediction have recently been proposed. They typically output a weight matrix $W$ where $W_{ij}$ is an arbitrary weight for base $i$ pairing with base $j$. Converting this matrix to a predicted secondary structure or base-pairing probability matrix typically invo...
T. Illman, Max Ward, Marcell Szikszai et al.
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