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    • Subclonal reconstruction of tumors by using machine learning and population genetics. 

      Caravagna, G; Heide, T; Williams, MJ; Zapata, L; Nichol, D; et al. (NATURE PUBLISHING GROUP, 2020-09-01)
      Most cancer genomic data are generated from bulk samples composed of mixtures of cancer subpopulations, as well as normal cells. Subclonal reconstruction methods based on machine learning aim to separate those subpopulations ...