Subclonal reconstruction of tumors by using machine learning and population genetics


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

NATURE GENETICS, cilt.52, sa.9, ss.898-919, 2020 (SCI İndekslerine Giren Dergi) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 52 Konu: 9
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1038/s41588-020-0675-5
  • Dergi Adı: NATURE GENETICS
  • Sayfa Sayıları: ss.898-919

Özet

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.