mRNA Design and Optimization with Deep Knowledge-Infused Approach
q-bio.QM, cs.AI, cs.LG
Submitted: 2025-05-29
Updated: 2026-08-30
Code: https://github.com/HudenJear/RPLoss
Terminology
Sources
- Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
- Adam: A Method for Stochastic Optimization
- Decoupled Weight Decay Regularization
- Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Related papers
- A likelihood-based framework for simultaneously learning both noise and growth dynamics using biologically-informed neural networks
- Automated Lesion Segmentation of Stroke MRI Using nnU-Net: A Comprehensive External Validation Across Acute and Chronic Lesions
- Resolving satellite-in situ mismatches in Net Primary Production using high-frequency in situ bio-optical observations in the subpolar Northwest Atlantic
- easyplater: The easy way to generate microplate designs deconvolved from multivariate clinical data
- Essential Workers at Risk: An Agent-Based Model (SAFE-ABM) with Bayesian Uncertainty Quantification
- OmniBioTwin: A System-of-Twinned-Systems Framework for Health Digital Twins