Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families.
Michael BrownRichard HugheyAnders KroghI. Saira MianKimmen SjölanderDavid HausslerPublished in: ISMB (1993)
Keyphrases
- hidden markov models
- protein families
- markov models
- speech recognition
- sequence classification
- sequential data
- conditional random fields
- dna sequences
- hidden states
- viterbi algorithm
- baum welch
- hidden state
- random effects
- markov model
- amino acids
- protein structure
- continuous hidden markov models
- stochastic context free grammars
- protein sequences
- dynamic programming