Estimating the dynamics and dependencies of accumulating mutations with applications to HIV drug resistance. Biostatistics
Montazeri et al. introduced a new model called “observed time conjunctive Bayesian network” (OT-CBN) to estimate the dynamics and dependencies of accumulating mutations with application to HIV drug resistance. The authors used their algorithm for estimation of the evolutionary rates for a given data set based on observed genotypes and corresponding sampling times and found that OT-CBN was superior compared to alternative models in term of likelihood and sampling time estimation.
Providing an analytical expression for the expected sampling time of a genotype, the authors assume that the expected sampling time of the genotype could serve clinicians as an informative predictor for HIV therapy outcome.