2 papers
cs.LG2026
Incorporating contextual information into KGWAS for interpretable GWAS discovery
Cheng Jiang, Brady Ryan, Megan Crow +7
Genome-Wide Association Studies (GWAS) identify associations between genetic variants and disease; however, moving beyond associations to causal mechanisms is critical for therapeu…
q-bio.QM2025
Unleashing the power of computational insights in revealing the complexity of biological systems in the new era of spatial multi-omics
Zhiwei Fan, Tiangang Wang, Kexin Huang +2
Recent advances in spatial omics technologies have revolutionized our ability to study biological systems with unprecedented resolution. By preserving the spatial context of molecu…