Likelihood-Based Approach to Gene Set Enrichment Analysis with a Finite Mixture Model.
Likelihood-Based Approach to Gene Set Enrichment Analysis with a Finite Mixture Model.
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基于有限混合模型的基因基因设置富集分析的方法。
DOI：
10.1007/s12561-012-9076-3
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发表时间：
2014-05-01
影响因子：
1
通讯作者：
Kersey, John H
中科院分区：
文献类型：
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作者：
Lee, Sang Mee;Wu, Baolin;Kersey, John H
在本文中，我们研究了一种用于基因集丰富分析的参数建模方法。现有方法在很大程度上依赖于使用例如基于分类、排列或重采样的重要性分析方法的非参数方法。这些方法已经被证明是有用的，但可能不是很有效。通过将富集化分析转化为模型比较问题，采用基于似然比的检验方法来评估富集化的意义。通过对基因表达数据的仿真研究和应用，我们将展示该方法的竞争性能。
In this paper, we study a parametric modeling approach to gene set enrichment analysis. Existing methods have largely relied on nonparametric approaches employing, e.g., categorization, permutation or resampling-based significance analysis methods. These methods have proven useful yet might not be powerful. By formulating the enrichment analysis into a model comparison problem, we adopt the likelihood ratio-based testing approach to assess significance of enrichment. Through simulation studies and application to gene expression data, we will illustrate the competitive performance of the proposed method.