Cerberus beats Borzoi on eQTLs: AUPRC 0.692 vs 0.668 across sQTL and paQTL benchmarks
anshulkundaje · x · 2026-10-10
Calico shared more Cerberus evaluation details: 786 kb input, 8,361 human and 3,102 mouse tracks, an ensemble of eight models. Against Borzoi, Cerberus better discriminates fine-mapped GTEx eQTLs (AUPRC 0.692 vs 0.668), better predicts their effect sizes (ρ 0.379 vs 0.321), and leads on sQTLs and paQTLs.
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