Markov models for accumulating mutations

DOI10.1093/biomet/asp023zbMath1170.62076arXiv0709.2646OpenAlexW2059684559MaRDI QIDQ3399077

Seth Sullivant, Niko Beerenwinkel

Publication date: 29 September 2009

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0709.2646

zbMATH Keywords

posetpartially ordered setHIVcancerBayesian networkgenetic progression

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Medical applications (general) (92C50) Diffusion processes (60J60) Genetics and epigenetics (92D10)

Related Items (5)

Cumulative disease progression models for cross-sectional data: A review and comparison ⋮ Pseudo-Marginal Inference for CTMCs on Infinite Spaces via Monotonic Likelihood Approximations ⋮ Waiting Time Models of Cancer Progression ⋮ Discrete max-linear Bayesian networks ⋮ Low-rank tensor methods for Markov chains with applications to tumor progression models

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