Quantifying cancer progression with conjunctive Bayesian networks.
Moritz GerstungMichael BaudisHolger MochNiko BeerenwinkelPublished in: Bioinform. (2009)
Keyphrases
- bayesian networks
- breast cancer
- conditional independence
- structure learning
- bayesian network learning
- disease progression
- probabilistic inference
- probability distribution
- graphical models
- learning bayesian networks
- expert knowledge
- lung cancer
- prostate cancer
- probabilistic reasoning
- closely related
- hidden variables
- parameter learning
- bayesian belief networks
- conditional probabilities
- inference in bayesian networks
- approximate inference
- neural network
- incomplete data
- early detection
- probabilistic model
- probabilistic modeling
- diagnostic reasoning
- naive bayes
- colorectal cancer
- probabilistic classifiers
- clinical diagnosis
- lymph nodes
- gene expression profiles
- continuous variables