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Screening Explorer-An Interactive Tool for the Analysis of Screening Results

机译:筛选资源管理器-用于筛选结果分析的交互式工具

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摘要

Screening Explorer is a web-based application that allows for an intuitive evaluation of the results of screening experiments using complementary metrics in the field. The usual evaluation of screening results implies the separate generation and apprehension of the ROC, predictiveness, and enrichment curves and their glottal metrics. Similarly, partial metrics need to be calculated repeatedly for different fractions of a data set and there exists no handy tool that allows reading partial metrics simultaneously on different charts. For a deeper understanding of the results of screening experiments, we rendered their analysis straightforward by linking these metrics interactively in an interactive usable web-based application. We also implemented simple consensus scoring methods based on scores normalization, standardization (z-scores), and compounds ranking to evaluate the enrichments that can be expected through methods combination. Two demonstration data sets allow the users to easily apprehend the functions of this tool that can be applied to the analysis of virtual and experimental screening results. Screening Explorer is freely accessible at http://stats.drugdesign.fr.
机译:Screening Explorer是一个基于Web的应用程序,它允许使用该领域的补充指标来直观评估筛选实验的结果。通常对筛查结果的评估意味着ROC,预测性和富集曲线及其声门度量分别产生和理解。同样,需要针对数据集的不同部分重复计算部分指标,并且没有方便的工具允许在不同图表上同时读取部分指标。为了更深入地了解筛选实验的结果,我们通过将这些指标交互式地链接到基于Web的交互式应用程序中,使分析变得简单明了。我们还基于分数归一化,标准化(z分数)和化合物排名实施了简单的共识评分方法,以评估可以通过方法组合获得的丰富度。两个演示数据集使用户可以轻松理解该工具的功能,这些功能可用于分析虚拟和实验筛选结果。可从http://stats.drugdesign.fr免费访问Screening Explorer。

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