Unified imputation of missing data modalities and features in multi-omic data via shared representation learning https://www.biorxiv.org/content/10.64898/2026.02.04.703630v1

What do you do when you don’t have all modalities for all samples in multi-omic data, and the missingness is messy? We developed a method for this. MIMIR: Unified imputation of missing data modalities and features in multi-omic data via shared representation learning www.biorxiv.org/content/10.6...

ML-Guided GWAS Reveals Genetic Architectures for MASLD for Overweight and Lean Individuals in the All of Us Cohort https://www.medrxiv.org/content/10.64898/2025.12.18.25342567v1

Protein language models can predict epistasis (non-additivity of multiple point mutations) if predictions are nonlinearly transformed first www.biorxiv.org/content/10.1...

Protein Language Models Capture Structural and Functional Epistasis in a Zero-Shot Setting https://www.biorxiv.org/content/10.1101/2025.09.14.676130v1

We were wondering: Do protein language models learn epistatic signals during pretraining? Turns out, yes! Protein Language Models Capture Structural and Functional Epistasis in a Zero-Shot Setting www.biorxiv.org/content/10.1...