部分AUC用于分化基因检测

Zhenqiu Liu, T. Hyslop
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引用次数: 9

摘要

局部AUC (pAUC)表示特异性范围有限的区域(如低假阳性率)。它可以识别全范围分析遗漏的重要区域分化基因。与基于疾病组和健康组之间的平均差异和标准偏差的流行t检验不同,基于pac的检验统计依赖于不同样本中基因的等级。它可以有效地检测在t检验中不显著的基因,并且仅在疾病组的一个子集中分化。我们对真实基因表达数据的实验表明,所提出的pac统计在检测能力和结果的生物学相关性方面都很有吸引力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Partial AUC for Differentiated Gene Detection
Partial AUC (pAUC) represents the area with a restricted range of specificity (e.g. low false positive rate). It may identify important regional differentiated genes missed by full-range analysis. Unlike the popular t-test, which is based on the mean difference and the standard deviation between the disease and health groups, pAUC based test statistic relies on the rank of a gene in different samples. It can effectively detect genes that are not significant in a t-test and only differentiated in a subset of the disease groups. Our experiments with real gene expression data show that the proposed pAUC statistic is appealing in terms of both detection power and the biological relevance of the results.
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