Bayesian inference of fitness landscapes via tree-structured branching processes.

Abstract excerpt

MOTIVATION: The complex dynamics of cancer evolution, driven by mutation and selection, underlies the molecular heterogeneity observed in tumors. The evolutionary histories of tumors of different patients can be encoded as mutation trees and reconstructed in high resolution from single-cell sequencing data, offering crucial insights for studying fitness effects of and epistasis among mutations. Existing models,...

Topics

• Bayes Theorem
• Humans
• Mutation
• Models, Genetic
• Epistasis, Genetic
• Leukemia, Myeloid, Acute
• Genetic Fitness