Identification of genomic aberrations in cancer subclones from heterogeneous tumor samples

摘要: Tumor samples are usually heterogeneous, containing admixture of more than one kind tumor subclones. Studies genomic aberrations from heterogeneous data hindered by the mixed signal subclone cells. Most existing algorithms cannot distinguish contributions different subclones measured single nucleotide polymorphism (SNP) array signals, which may cause erroneous estimation aberrations. Here, we have introduced a computational method, Cancer Heterogeneity Analysis SNP-array Experiments (CHASE), to automatically detect proportions and samples. Our method is based on HMM, incorporates EM algorithm build statistical model for modeling multiple We tested proposed approach simulated datasets two real datasets, results show that can efficiently estimate recovery