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Statistical analysis of DMG evaluation.

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NIAID Data Ecosystem2026-03-09 收录
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https://figshare.com/articles/dataset/Statistical_analysis_of_DMG_evaluation_/3143113
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Spearman´s rank correlation to beer spoilage potential as well as Fisher´s P (two-sided) with respect to beer spoilage ability are listed in order to illustrate the quality of the tested DMGs. The percentage of correct identifications is listed for each DMG, based on the assumption that each DMG is made for the discrimination of beer spoiling and non-spoiling strains (beer spoilage ability). Further the fractions of false positive and false negative results are given, also regarding the detection of beer spoilage ability. DMGs are sorted descending according to Fisher´s P. NS = Spearman´s ρ not significant at CI = 95%.

为评估受试判别型宏基因组特征(DMGs)的性能,本文列出了其与啤酒变质潜力的斯皮尔曼等级相关系数(Spearman´s rank correlation),以及针对啤酒变质能力的双侧费希尔P值(Fisher´s P (two-sided))。基于"每个DMG均用于区分啤酒变质菌株与非变质菌株(即啤酒变质能力判别)"的假设,本文同时列出了各DMG的正确识别百分比。此外,还给出了与啤酒变质能力检测相关的假阳性(false positive)率与假阴性(false negative)率。所有DMG均按费希尔P值降序排列。注:NS代表在95%置信区间(CI)下,斯皮尔曼ρ值无统计学显著性。
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2016-03-31
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