Model selection in biological networks using a graphical EM algorithm.
Hanen Ben HassenKhalil MasmoudiAfif MasmoudiPublished in: Neurocomputing (2019)
Keyphrases
- biological networks
- model selection
- em algorithm
- expectation maximization
- mixture model
- cross validation
- parameter estimation
- likelihood function
- hyperparameters
- biological data
- gene expression
- bayesian model selection
- maximum likelihood
- sample size
- gaussian mixture model
- generative model
- selection criterion
- variable selection
- incomplete data
- machine learning
- density estimation
- gaussian process
- hidden variables
- feature selection
- maximum a posteriori
- probability density function
- regression model
- unsupervised learning
- bayesian information criterion
- microarray
- statistical models
- data analysis
- data sets
- probabilistic model
- least squares
- supervised learning
- bayesian framework