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» Model gene network by semi-fixed Bayesian network
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180
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BMCBI
2005
98views more  BMCBI 2005»
15 years 6 months ago
Iterative approach to model identification of biological networks
Background: Recent advances in molecular biology techniques provide an opportunity for developing detailed mathematical models of biological processes. An iterative scheme is intr...
Kapil G. Gadkar, Rudiyanto Gunawan, Francis J. Doy...
BMCBI
2011
14 years 9 months ago
Acorn: A grid computing system for constraint based modeling and visualization of the genome scale metabolic reaction networks v
Background: Constraint-based approaches facilitate the prediction of cellular metabolic capabilities, based, in turn on predictions of the repertoire of enzymes encoded in the gen...
Jacek Sroka, Lukasz Bieniasz-Krzywiec, Szymon Gwoz...
209
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CEC
2010
IEEE
15 years 1 months ago
Parameter estimation with term-wise decomposition in biochemical network GMA models by hybrid regularized Least Squares-Particle
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
Prospero C. Naval, Luis G. Sison, Eduardo R. Mendo...
161
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WINE
2005
Springer
107views Economy» more  WINE 2005»
15 years 11 months ago
Price of Anarchy of Network Routing Games with Incomplete Information
We consider a class of networks where n agents need to send their traffic from a given source to a given destination over m identical, non-intersecting, and parallel links. For suc...
Dinesh Garg, Yadati Narahari
JETAI
1998
110views more  JETAI 1998»
15 years 5 months ago
Independency relationships and learning algorithms for singly connected networks
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
Luis M. de Campos