package for Bayesian probabilistic annotation of LC-MS-based metabolomics.
Ricardo R. da SilvaFabien JourdanDiego M. SalvanhaFabien LétisseEmilien L. JaminSimone Guidetti-GonzalezCarlos A. LabateRicardo Z. N. VêncioPublished in: Bioinform. (2014)
Keyphrases
- bayesian networks
- posterior probability
- probabilistic model
- data driven
- generative model
- automatic image annotation
- identify potential
- maximum likelihood
- automatic annotation
- bayesian inference
- bayesian decision
- prior probabilities
- posterior distribution
- databases
- probabilistic reasoning
- decision theory
- bayesian learning
- uncertain data
- semantic annotation
- search engine
- manual annotation
- genetic algorithm
- annotation tool
- neural network