Bayesian inference on stochastic gene transcription from flow cytometry data.
Simone TiberiMark WalshMassimo CavallaroDaniel HebenstreitBärbel FinkenstädtPublished in: Bioinform. (2018)
Keyphrases
- bayesian inference
- probabilistic model
- hyperparameters
- prior information
- bayesian model
- statistical inference
- variational inference
- gibbs sampler
- probabilistic modeling
- inference process
- hidden variables
- markov networks
- monte carlo
- hierarchical bayesian
- variational bayes
- weighted model counting
- expectation propagation
- conditional random fields
- particle filter
- latent variables
- approximate inference
- closed form
- image reconstruction
- data sets