Fulong Yu

This paper introduces PGI, a system that automates post-GWAS interpretation, achieving high recovery of findings and enabling cross-study biological evidence accumulation.

This study identifies a BACH2-NRF2 axis regulating fetal hemoglobin activation through genetic and functional analyses in a large multi-ancestry cohort.

CAPTAIN is a multimodal foundation model trained on single-cell RNA and protein data, improving multi-omics integration and uncovering protein-driven intercellular dynamics.

DERIVE predicts antigenic change across viruses using disentangled latent representations of evolutionary history, showing strong transferability to diverse viral families.

This paper introduces MethylAI, a deep learning framework that predicts DNA methylation states from genomic sequence and identifies sequence determinants of methylation through in silico perturbation.

The paper identifies genetic and phenotypic correlates of mosaic loss of chromosome Y in blood using whole genome sequencing data from the TOPMed program.

The paper identifies cell-type specific lung cancer susceptibility genes by integrating single-cell multi-omics data with GWAS loci.

The paper introduces SCAVENGE, a method mapping causal variants to cellular contexts at single-cell resolution, identifying disease-relevant cell types and mechanisms.

CUT&RUNTools 2.0 is a computational pipeline for analyzing single-cell and bulk CUT&RUN and CUT&Tag data, offering alignment, quality control, clustering, and visualization tools.

scTPA provides a web tool for analyzing single-cell RNA-seq data using pathway activation signatures to annotate cell types and identify functional patterns.