Latent dirichlet allocation for double clustering (LDA-DC): discovering patients phenotypes and cell populations within a single Bayesian framework.
Elie-Julien El HachemNataliya SokolovskaHédi SoulaPublished in: BMC Bioinform. (2023)
Keyphrases
- latent dirichlet allocation
- bayesian framework
- generative model
- topic discovery
- probabilistic latent semantic analysis
- topic models
- topic modeling
- variational inference
- lda model
- gaussian process
- probabilistic model
- prior knowledge
- posterior probability
- hyperparameters
- mixture model
- prior distribution
- em algorithm
- expectation maximization
- latent topics
- posterior distribution
- bayesian model
- k means
- clustering algorithm
- markov chain monte carlo
- probability density function
- gibbs sampling
- text mining
- variational bayesian inference
- maximum a posteriori
- data points
- latent topic models
- latent variables
- image reconstruction
- high resolution
- probabilistic topic models
- image processing
- hierarchical bayesian model