  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.
