Bayesian protein superposition using Hamiltonian Monte Carlo.
Lys Sanz MoretaAhmad Salim Al-SibahiThomas HamelryckPublished in: BIBE (2020)
Keyphrases
- monte carlo
- monte carlo methods
- markov chain
- importance sampling
- protein structure
- amino acids
- markov chain monte carlo
- monte carlo simulation
- bayesian networks
- stochastic approximation
- monte carlo method
- bayesian learning
- markovian decision
- adaptive sampling
- monte carlo tree search
- optimal strategy
- protein sequences
- simulation study
- posterior distribution
- posterior probability
- temporal difference
- bayesian inference
- particle filter
- game tree
- matrix inversion
- parameter estimation
- maximum likelihood
- upper bound