MODIS: Multi-Omics Data Integration for Small and unpaired datasets

arXiv:2503.18856 · cs.LG · Submitted 2025-03-24 · Read on arXiv

cs.LG

Submitted: 2025-03-24

Updated: 2026-08-27

Code: https://github.com/VILLOUTREIXLab/MODIS

Terminology

• Accuracy — 36× in this paper · explained in 1 episode
• Latent Representation — 25× in this paper · explained in 2 episodes
• Latent Space — 20× in this paper · explained in 7 episodes
• Alignment — 19× in this paper · explained in 1 episode
• Embeddings — 7× in this paper · explained in 2 episodes
• Clustering — 6× in this paper · explained in 2 episodes
• Latent Representations — 5× in this paper · explained in 3 episodes
• Loss Function — 5× in this paper · explained in 2 episodes
• Transfer Learning — 5× in this paper · explained in 10 episodes
• Abundance — 4× in this paper · explained in 1 episode
• Computational Biology — 3× in this paper · explained in 2 episodes
• Reconstruction Error — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Cancer Genome Atlas — 2× in this paper
• Interpretability — 2× in this paper · explained in 15 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Explainability — 1× in this paper · explained in 3 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• Adversarial Autoencoders
• Geometric GAN
• The relativistic discriminator: a key element missing from standard GAN
• With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You
• Auto-Encoding Variational Bayes

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: Local-Consistency Optimisation for Bayesian Neural Networks
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks