To Control False Positives in Gene-Gene Interaction Analysis: Two Novel Conditional Entropy-Based Ap

来源 :中国卫生统计(生物统计)2014学术年会 | 被引量 : 0次 | 上传用户:apworld
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Background and purpose: Genome-wide analysis of gene-gene interactions has been recognized as a powerful avenue to identify the missing genetic components that can not be detected by using current single-point association analysis.Recently, several model-free methods (e.g.the commonly used information based metrics and several logistic regression-based metrics) were developed for detecting non-linear dependence between genetic loci, but they are potentially at the risk of inflated false positive error, in particular when the main effects at one or both loci are salient.
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