FLAMES is a machine learning approach combining variant fine-mapping, SNP-to-gene annotations and convergence-based gene prioritization scores to identify candidate effector genes at genome-wide associated loci with high accuracy.
- Marijn Schipper
- Christiaan A. de Leeuw
- Danielle Posthuma
