Improving Recall of In Situ Sequencing by Self-Learned Features and a Graphical Model.
Gabriele PartelGiorgia MilliCarolina WählbyPublished in: CoRR (2018)
Keyphrases
- graphical models
- belief propagation
- probabilistic inference
- conditional random fields
- probabilistic graphical models
- probabilistic model
- bayesian networks
- structure learning
- random variables
- approximate inference
- map inference
- feature space
- gaussian graphical models
- conditional dependencies
- markov networks
- belief networks
- parameter estimation
- prior knowledge