Lang Wu

Mendel, a foundation model of human genetic variation, prioritizes regulatory variants and improves gene expression prediction

Mendel is a foundation model trained on human whole genome sequences to prioritize regulatory variants and improve gene expression prediction.

Biological rationales from language models enable leakage-resistant forecasts of target-indication success

PRIORITI uses language models to predict target-indication success in drug discovery, achieving high accuracy and robustness across different benchmarks.

An atlas of genetic effects on the monocyte methylome across European and African populations

The paper constructs a multi-ancestry methylome atlas of purified monocytes, identifies population-specific methylation quantitative trait loci, and performs methylome-wide association studies for 41 traits, revealing novel associations for type 2 diabetes.

Benchmarking DNA Foundation Models for Genomic and Genetic Tasks

This study benchmarks five DNA foundation models across genomic tasks, finding that mean token embeddings improve classification performance and specialized models outperform general ones in gene expression and QTL prediction.