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We present a set of statistical methods for the analysis of DNA methylation microarray data, which account for tumor purity. These methods are an extension of our previously developed method for purity estimation; our updated method is flexible, efficient, and does not require data from reference samples or matched normal controls. We also present a method for incorporating purity information for differential methylation analysis. In addition, we propose a control-free differential methylation calling method when normal controls are not available. Extensive analyses of TCGA data demonstrate that our methods provide accurate results. All methods are implemented in InfiniumPurify.
{"references": ["Zheng, Xiaoqi et al. (2017) Genome Biology, in revision."]}
DNA methylation, Tumor purity estimation, Differential methylation, Differential methylation analysis, Tumor purity, Cancer epigenomics
DNA methylation, Tumor purity estimation, Differential methylation, Differential methylation analysis, Tumor purity, Cancer epigenomics
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