Partial AUC for Differentiated Gene Detection
Partial AUC for Differentiated Gene Detection
复制标题
用于差异基因检测的部分 AUC
DOI：
10.1109/bibe.2010.68
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
T. Hyslop
中科院分区：
文献类型：
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作者：
Zhenqiu Liu;T. Hyslop
部分AUC（pAUC）代表特异性范围有限（例如，假阳性率低）的面积。它可能会发现重要的区域分化基因错过了全范围分析。与基于疾病组和健康组之间的平均差和标准差的流行t检验不同，基于pAUC的检验统计量依赖于不同样本中基因的排名。它可以有效地检测在t检验中不显著的基因，并且仅在疾病组的子集中区分。我们用真实的基因表达数据进行的实验表明，所提出的pAUC统计量在检测能力和结果的生物相关性方面都是有吸引力的。
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.