bWGR: Bayesian whole-genome regression.
Alencar XavierWilliam M. MuirKaty Martin RaineyPublished in: Bioinform. (2020)
Keyphrases
- sparse bayesian learning
- gaussian processes
- relevance vector machine
- regression model
- linear regression
- bayesian learning
- dirichlet process mixture
- data driven
- regression algorithm
- locally weighted
- bayesian estimation
- maximum likelihood
- posterior probability
- bayesian networks
- gaussian process regression
- model selection
- regression problems
- model averaging
- simple linear
- posterior distribution
- support vector regression
- bayesian inference
- polynomial regression
- bayesian methods
- regression function
- regression method
- neural network
- markov random field
- prior knowledge
- machine learning