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A divide-and-conquer approach based on deep learning for long RNA secondary structure prediction: Focus on pseudoknots identification.
Published 2025-01-01“…Our approach is able to scale to long RNAs by recursively partitioning sequences into smaller fragments until they can be managed by an existing model able to predict RNA secondary structure including pseudoknots. …”
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Reduced-Order Model Based on Neural Network of Roll Bending
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Regional Geomagnetic Field Modeling Based on Associated Legendre Polynomials
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Chinese Sequence Labeling Based on Stack Pre-training Model
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Modeling peak ground acceleration for earthquake hazard safety evaluation
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Numerical Modelling of Underground Water Pipelines exposed to Seismic Loading
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Vision Transformer and Language Model Based Radiology Report Generation
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