Performance metrics and credible set characteristics for fine-mapping methods across simulation replicates with two causal variants.
收藏NIAID Data Ecosystem2026-05-02 收录
数据链接:
官方服务:
资源简介:
For each replicate, the number of true positives (TP), false positives (FP), and false negatives (FN) is shown, along with derived metrics: Precision, Recall, F1-score, and AUC. Credible set counts and average sizes are also reported, using the CS2 procedure for BLR models and the internal credible set definitions for external methods. (XLSX)
创建时间:
2025-07-30



