Exploring the Protein Sequence Space with Global Generative Models.
Sergio Romero-RomeroSebastian LindnerNoelia FerruzPublished in: CoRR (2023)
Keyphrases
- generative model
- protein sequences
- mixture model
- probabilistic model
- discriminative learning
- protein structure
- discriminative models
- hierarchical hidden markov models
- object categories
- vector space
- semi supervised
- prior knowledge
- topic models
- protein secondary structure
- protein structure prediction
- secondary structure
- high dimensional
- bayesian networks
- generative and discriminative models
- amino acids
- information retrieval
- em algorithm
- object recognition
- representational power
- structural motifs
- experimentally determined
- conditional random fields