Subclonal reconstruction of tumors by using machine learning and population genetics


Caravagna G., Heide T., Williams M. J. , Zapata L., Nichol D., Chkhaidze K., ...More

NATURE GENETICS, vol.52, no.9, pp.898-919, 2020 (Journal Indexed in SCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 52 Issue: 9
  • Publication Date: 2020
  • Doi Number: 10.1038/s41588-020-0675-5
  • Title of Journal : NATURE GENETICS
  • Page Numbers: pp.898-919

Abstract

MOBSTER is an approach for subclonal reconstruction of tumors from cancer genomics data on the basis of models that combine machine learning with evolutionary theory, thus leading to more accurate evolutionary histories of tumors.