2 papers
q-bio.GN2026
A Unified Unsupervised Framework for Genome-Wide Association Studies in Heterogeneous Populations
Xiong Shen, Zhenshuang Tang, Yong Liao +14
Genome-wide association studies (GWAS) have greatly advanced the discovery of genetic variants underlying complex traits and diseases. Yet in heterogeneous populations, existing GW…
q-bio.QM2025
Bridging the genotype-phenotype gap with generative artificial intelligence
Yangfan Liu, Xiong Xiong, Yong Liao +18
The genotype-phenotype gap is a persistent barrier to complex trait genetic dissection, worsened by the explosive growth of genomic data (1.5 billion variants identified in the UK…