Pan-cancer inference of intra-tumor heterogeneity reveals associations with different forms of genomic instability

HIGHLIGHTS

• who: Franck Raynaud et al. from the Department of Computational Biology, University of Lausanne, Lausanne, Switzerland, Swiss Institute of have published the research: Pan-cancer inference of intra-tumor heterogeneity reveals associations with different forms of genomic instability, in the Journal: (JOURNAL) of September/13,/2018
• what: The authors examined how different forms of genomic instability associated with intra-tumor heterogeneity. Using this model, the authors simulated and characterized the evolution of approximately 40,000 simulated tumors spanning a wide range of evolutionary parameters (μ and s) (see Methods). TCGA cohort Molecular data for the tumor . . .
  

   

  

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