DoGMA: A Central-Dogma-Guided Foundation Model for Multi-Omics Alignment and Multi-Task Learning in Oncology
Institute of Medical Robotics, Shanghai Jiao Tong University · Institute of Medical Robotics, Shanghai Jiao Tong University · Institute of Medical Robotics, Shanghai Jiao Tong University · Institute of Data Science, The University of Hong Kong · Oriental Pan-Vascular Devices Innovation College, University of Shanghai for Science and Technology · Institute of Medical Robotics, Shanghai Jiao Tong University
cs.LG, cs.AI
Submitted: 2026-08-08
Updated: 2026-09-08
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Invariant Risk Minimization
- Neural Machine Translation by Jointly Learning to Align and Translate
- BEiT: BERT Pre-Training of Image Transformers
- Relational inductive biases, deep learning, and graph networks
- I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks