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.

中文翻译：

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GSSMD：用于稳健且可解释的检测质量评估和命中选择的新指标

在高通量筛选 (HTS) 活动中，Z' 因子和严格标准化的平均差异 (SSMD) 通常用于评估检测质量和选择命中。然而，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高度敏感。在这里，我们提出了一种用于检测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可靠和直观的测定质量评估和命中选择方法。