Zhu, Lu; Ester, Martin: Bayesian Collective Markov Random Fields for Subcellular Localization Prediction of Human Proteins. 2017
Inhalt
- 2 The Bayesian Collective MRF Model
- 2.1 Markov Random Field (MRF) on protein SCL prediction
- 2.2 The weighted markov random field model
- 2.3 Gibbs sampler and likelihood estimation
- 2.4 Collective MRFs
- 3 Experimental setup
- 4 Experimental results
- 4.1 Likelihood and prediction performance
- 4.2 Effects of different potentials
- 4.3 A collective process improves the performance
- 4.4 Transductive learning from imbalanced MLDs
- 4.5 Comparison with existing methods
- 5 Conclusion and future work
- Acknowledgments
- References