OncoNEM: inferring tumor evolution from single-cell sequencing data.

摘要: Single-cell sequencing promises a high-resolution view of genetic heterogeneity and clonal evolution in cancer. However, methods to infer tumor from single-cell data lag behind developed for bulk-sequencing data. Here, we present OncoNEM, probabilistic method inferring intra-tumor evolutionary lineage trees somatic single nucleotide variants cells. OncoNEM identifies homogeneous cellular subpopulations infers their genotypes as well tree describing relationships. In simulation studies, assess OncoNEM’s robustness benchmark its performance against competing methods. Finally, show applicability case studies muscle-invasive bladder cancer essential thrombocythemia.