66 search results - page 2 / 14 » Incremental Bayesian networks for structure prediction |
ARTMED
2004
13 years 4 months ago
2004
Successful secondary structure predictions provide a starting point for direct tertiary structure modelling, and also can significantly improve sequence analysis and sequence-stru...
ECTEL
2006
Springer
13 years 8 months ago
2006
Springer
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
BMCBI
2008
13 years 4 months ago
2008
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
BMCBI
2011
12 years 7 months ago
2011
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
IPPS
2007
IEEE
2007
IEEE
Protein Secondary Structure Prediction using Bayesian Inference method on Decision fusion algorithms
13 years 10 months ago
Prediction of protein secondary structure (alpha-helix, beta-sheet, coil) from primary sequence of amino acids is a very challenging task, and the problem has been approached from...