Deep Recurrent Conditional Random Field Network for Protein Secondary Prediction.
Alexander Rosenberg JohansenCasper Kaae SønderbySøren Kaae SønderbyOle WintherPublished in: BCB (2017)
Keyphrases
- conditional random fields
- fully connected
- protein fold recognition
- probabilistic model
- long range
- markov random field
- graphical models
- subcellular localization
- image labeling
- maximum entropy
- crf model
- protein structure prediction
- network model
- random fields
- network structure
- protein sequences
- higher order
- protein interaction
- information extraction
- hidden markov models
- pairwise
- machine learning
- structured prediction
- protein structure
- complex networks
- generative model
- contact map
- ordinal scale
- undirected graphical models
- max margin
- amino acids
- natural language
- image processing