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89
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BMCBI
2010
105views more  BMCBI 2010»
15 years 26 days ago
Subdivision of the MDR superfamily of medium-chain dehydrogenases/reductases through iterative hidden Markov model refinement
Background: The Medium-chain Dehydrogenases/Reductases (MDR) form a protein superfamily whose size and complexity defeats traditional means of subclassification; it currently has ...
Joel Hedlund, Hans Jörnvall, Bengt Persson
BMCBI
2007
160views more  BMCBI 2007»
15 years 26 days ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...
117
Voted
BMCBI
2006
143views more  BMCBI 2006»
15 years 24 days ago
Application of protein structure alignments to iterated hidden Markov model protocols for structure prediction
Background: One of the most powerful methods for the prediction of protein structure from sequence information alone is the iterative construction of profile-type models. Because ...
Eric D. Scheeff, Philip E. Bourne
115
Voted
PR
2008
124views more  PR 2008»
15 years 20 days ago
A daily behavior enabled hidden Markov model for human behavior understanding
This paper presents a Hierarchical Context Hidden Markov Model (HC-HMM) for behavior understanding from video streams in a nursing center. The proposed HC-HMM infers elderly behav...
Pau-Choo Chung, Chin-De Liu
BMCBI
2005
87views more  BMCBI 2005»
15 years 20 days ago
Efficient decoding algorithms for generalized hidden Markov model gene finders
Background: The Generalized Hidden Markov Model (GHMM) has proven a useful framework for the task of computational gene prediction in eukaryotic genomes, due to its flexibility an...
William H. Majoros, Mihaela Pertea, Arthur L. Delc...