Neutral Zone Classifiers Using a Decision-Theoretic Approach With Application to DNA Array Analyses.
Neutral Zone Classifiers Using a Decision-Theoretic Approach With Application to DNA Array Analyses.
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使用决策理论方法的中性区分类器应用于 DNA 阵列分析。
DOI：
10.1007/s13253-010-0034-6
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
Borneman,James
中科院分区：
文献类型：
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作者：
Yu,Hua;Jeske,DanielR;Ruegger,Paul;Borneman,James
最近提出将两类中性区分类器用于微生物群落分析应用。这些分类器在探针杂交结果过于模糊而无法有足够的信心分配“结合”或“无结合”结果的情况下提供了一个中立区域。在本文中，我们将中性区分类器的想法推广到任意数量的类别，并通过考虑探针杂交实验结果的第三类“部分结合”，将其应用于改进微生物群落分析的过程。我们引入了一系列类分布，它使用高斯分布的混合作为原始强度测量的 Box-Cox 幂变换的模型。分层交叉验证分析用于评估所提出的三级中性区分类器的有效性。本文有在线补充材料。
Two-class neutral zone classifiers were recently proposed for use in microbial community profiling applications. These classifiers allow a region of neutrality for cases where probe hybridization outcomes are too ambiguous to have adequate confidence in assigning a “binding” or “no binding” result. In this paper, we generalize the idea of neutral zone classifiers to an arbitrary number of classes and apply it to improve the process of microbial community profiling by considering a third class for the outcome of probe hybridization experiments, “partial binding.” We introduce a family of class distributions that uses a mixture of Gaussian distributions as a model for a Box–Cox power transformation of the raw intensity measurements. Stratified cross-validation analyses are used to assess the efficacy of the proposed three-class neutral zone classifier. This article has supplementary material online.