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SIMBA+: Dissecting Genetic Variant Function Through Single-Cell Multiomics Integration
- The challenge of translating GWAS findings into variant mechanisms and cellular contexts
- SIMBA+: a probabilistic graph framework integrating single-cell multiomics with genetic association data
- Case study: how disease variants regulate immune genes in specific cell populations (atopic dermatitis)
- Benchmarking against existing methods, including validation with eQTLs and CRISPR data
- Heritability decomposition at single-cell resolution across 75 complex traits and 19 tissues
