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Statistical Methods for Deconvolution in Cancer Genomics
With the advance of deep sequencing techniques, intratumor heterogeneity becomes a prevalent confounding factor to tumor genomic profiling studies. The heterogeneous composition of a tumor tissue can potentially lead to false positive differential expression conclusions and influence patients' clinical outcomes and therapeutic responses. Many deconvolution methods aiming to separate the subcomponent signals have been developed in the past decades, modeling the tumor genomic profiling as adoi:10.17615/28pr-1g32 fatcat:4qyj3fdiqrgtnpckuooeceomju