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» A Bayesian approach to protein model quality assessment
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BMCBI
2004
177views more  BMCBI 2004»
13 years 7 months ago
Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
Background: Certain protein families are highly conserved across distantly related organisms and belong to large and functionally diverse superfamilies. The patterns of conservati...
Andrew F. Neuwald, Jun S. Liu
AAAI
2004
13 years 9 months ago
Identifying Linear Causal Effects
This paper concerns the assessment of linear cause-effect relationships from a combination of observational data and qualitative causal structures. The paper shows how techniques ...
Jin Tian
BMCBI
2008
130views more  BMCBI 2008»
13 years 7 months ago
Structural descriptor database: a new tool for sequence-based functional site prediction
Background: The Structural Descriptor Database (SDDB) is a web-based tool that predicts the function of proteins and functional site positions based on the structural properties o...
Juliana S. Bernardes, Jorge H. Fernandez, Ana Tere...
BMCBI
2004
208views more  BMCBI 2004»
13 years 7 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
QSIC
2006
IEEE
14 years 1 months ago
Software Project Level Estimation Model Framework based on Bayesian Belief Networks
Software estimation models should support managerial decision making in software projects. We experience that most of current models do not achieve this goal to the extend manager...
Hao Wang, Fei Peng, Chao Zhang, Andrej Pietschker