208 search results - page 17 / 42 » An evolutionary method for learning HMM structure: predictio... |
BMCBI
2010
13 years 7 months ago
2010
Background: Protein folding rate is an important property of a protein. Predicting protein folding rate is useful for understanding protein folding process and guiding protein des...
ESWA
2007
13 years 7 months ago
2007
Hidden Markov Models, or HMMs for short, have been recently used in Bioinformatics for the classification of DNA or protein chains, giving rise to what is known as Profile Hidde...
BMCBI
2010
13 years 2 months ago
2010
Background: Ever since the ground-breaking work of Anfinsen et al. in which a denatured protein was found to refold to its native state, it has been frequently stated by the prote...
ISMIS
2005
Springer
14 years 1 months ago
2005
Springer
In this paper, we adapt a statistical learning approach, inspired by automated topic segmentation techniques in speech-recognized documents to the challenging protein segmentation ...
BMCBI
2005
13 years 7 months ago
2005
Background: Structure prediction of membrane proteins is still a challenging computational problem. Hidden Markov models (HMM) have been successfully applied to the problem of pre...