Pages that link to "Item:Q2458044"
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The following pages link to Predicting protein secondary structure based on Bayesian classification procedures on Markovian chains (Q2458044):
Displaying 12 items.
- Using compositions of Markov models to determine functional gene fragments (Q465985) (← links)
- Predicting torsion angles in amino acid protein sequences based on a Bayesian classification procedure on Markov chains (Q466324) (← links)
- Predicting gene structure with the use of mixtures of probability distributions (Q891714) (← links)
- A method for protein accessibility prediction based on residue types and conformational states (Q936010) (← links)
- Optimal pattern recognition procedures and their application (Q941191) (← links)
- Bayesian approach, theory of empirical risk minimization. Comparative analysis (Q1008355) (← links)
- A hidden Markov model applied to the protein 3D structure analysis (Q1023658) (← links)
- A segmental semi Markov model for protein secondary structure prediction (Q1038262) (← links)
- Using Bayesian multinomial classifier to predict whether a given protein sequence is intrinsically disordered (Q1797718) (← links)
- Methods to predict protein spatial structure (Q1956968) (← links)
- A composite approach to protein tertiary structure prediction: hidden Markov model based on lattice (Q2633580) (← links)
- Population-based incremental learning for the prediction of Homo sapiens’ protein secondary structure (Q5384719) (← links)
