Article

Markov models for accumulating mutations

2009-06-05

Abstract excerpt

We introduce and analyze a waiting time model for the accumulation of genetic changes. The continuous-time conjunctive Bayesian network is defined by a partially ordered set of mutations and by the rate of fixation of each mutation. The partial order encodes constraints on the order in which mutations can fixate in the population, shedding light on the mutational pathways underlying the evolutionary process. We st...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4dfecfaa-d94c-588e-94a7-3537a7cdd29c
DOI: 10.1093/biomet/asp023

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Markov models for accumulating mutationsDOI 10.1093/biomet/asp023Read

Molecular evolution of biological sequencesSemantic proximity Read

Large-scale inference of conjunctive Bayesian networks.Semantic proximity Read

Efficient sampling for Bayesian inference of conjunctive Bayesian networks.Semantic proximity Read

DEGBOE: Discrete time Evolution modeling of Gene mutation through Bayesian inference using qualitative Observation of mutation Events.Semantic proximity Read

Modeling cumulative biological phenomena with Suppes-Bayes Causal NetworksSemantic proximity Read

Learning monotonic genotype-phenotype maps.Semantic proximity Read

Learning multiple evolutionary pathways from cross-sectional data.Semantic proximity Read

On the waiting time until coordinated mutations get fixed in regulatory sequences.Semantic proximity Read

Branching process models for mutant genes in nonstationary populations.Semantic proximity Read

Computational tools for assessing gene therapy under branching process models of mutation.Semantic proximity Read

A hypercubic Mk model framework for capturing reversibility in disease, cancer, and evolutionary accumulation modellingSemantic proximity Read

Bayesian model-averaging of parametric coalescent models for phylodynamic inferenceSemantic proximity Read