论文标题
GSSMD：可靠和可解释的测定质量评估和命中选择的新指标
GSSMD: New metric for robust and interpretable assay quality assessment and hit selection
论文作者
论文摘要
在高通量筛选（HTS）活动中，Z-Factor和严格标准化的平均差异（SSMD）通常用于评估测定质量并选择命中率。但是，这些措施容易受到异常值的影响，并且它们的性能对背景分布非常敏感。在这里，我们提出了一项针对测定质量评估和命中选择的替代措施。所提出的方法是SSMD（GSSMD）的非参数广义变体。在本文中，我们已经表明，所提出的方法提供了更强大，更直观的方法来分析质量评估和命中选择。
In the high-throughput screening (HTS) campaigns, the Z'-factor and strictly standardized mean difference (SSMD) are commonly used to assess the quality of assays and to select hits. However, these measures are vulnerable to outliers and their performances are highly sensitive to background distributions. Here, we propose an alternative measure for assay quality assessment and hit selection. The proposed method is a non-parametric generalized variant of SSMD (GSSMD). In this paper, we have shown that the proposed method provides more robust and intuitive way of assay quality assessment and hit selection.
