Optimizing copy number profiles for tumor cell phylogeny inference from low-coverage single-cell sequencing data
Motivation: Accurate reconstruction of tumor cell phylogenies is crucial for understanding cancer evolutionary dynamics, inferring intra-tumor heterogeneity, and designing effective and personalized cancer treatment strategies. One of the most promising and cost-effective approaches for reconstructing tumor phylogenies for large numbers of cells is to use copy number alteration (CNA) data…
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