A non-parametric Bayesian approach for predicting RNA secondary structures
Since many functional RNAs form stable secondary structures which are related to their
functions, RNA secondary structure prediction is a crucial problem in bioinformatics. We
propose a novel model for generating RNA secondary structures based on a non-parametric
Bayesian approach, called hierarchical Dirichlet processes for stochastic context-free
grammars (HDP-SCFGs). Here non-parametric means that some meta-parameters, such as
the number of non-terminal symbols and production rules, do not have to be fixed. Instead …
functions, RNA secondary structure prediction is a crucial problem in bioinformatics. We
propose a novel model for generating RNA secondary structures based on a non-parametric
Bayesian approach, called hierarchical Dirichlet processes for stochastic context-free
grammars (HDP-SCFGs). Here non-parametric means that some meta-parameters, such as
the number of non-terminal symbols and production rules, do not have to be fixed. Instead …
A non-parametric bayesian approach for predicting RNA secondary structures
Since many functional RNAs form stable secondary structures which are related to their
functions, RNA secondary structure prediction is a crucial problem in bioinformatics. We
propose a novel model for generating RNA secondary structures based on a non-parametric
Bayesian approach, called hierarchical Dirichlet processes for stochastic context-free
grammars (HDP-SCFGs). Here non-parametric means that some meta-parameters, such as
the number of non-terminal symbols and production rules, do not have to be fixed. Instead …
functions, RNA secondary structure prediction is a crucial problem in bioinformatics. We
propose a novel model for generating RNA secondary structures based on a non-parametric
Bayesian approach, called hierarchical Dirichlet processes for stochastic context-free
grammars (HDP-SCFGs). Here non-parametric means that some meta-parameters, such as
the number of non-terminal symbols and production rules, do not have to be fixed. Instead …
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