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1bnt - Project Hosting on Google Code
http://code.google.com/p/bnt/
14 years ago by @wnpxrz
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1PNL | Get PNL at SourceForge.net
http://sourceforge.net/projects/openpnl/
14 years ago by @wnpxrz
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2Bayesian networks
http://bndg.cs.aau.dk/html/bayesian_networks.html
14 years ago by @wnpxrz
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1List of probabilistic model mini-language toolkits - Brendan O'Connor's Blog
http://anyall.org/blog/2009/12/list-of-probabilistic-model-mini-language-toolkits/
14 years ago by @wnpxrz
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1JAGS Version 1.0.3 manual (application/pdf Object)
Martyn Plummer April 23, 2009
14 years ago by @wnpxrz
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12Operations for Learning with Graphical Models
W. Buntine. Journal of Artificial Intelligence Research, (1994)
14 years ago by @wnpxrz
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3A Brief Introduction to Graphical Models and Bayesian Networks
K. Murphy. (1998)
14 years ago by @wnpxrz
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5Getting started in probabilistic graphical models
E. Airoldi. PLoS Comput Biol, (December 2007)
14 years ago by @wnpxrz
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1Ontologies for Probabilistic Networks
E. Helsper, and L. van der Gaag. (2003)
14 years ago by @wnpxrz
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3Inferring Cellular Networks Using Probabilistic Graphical Models
N. Friedman. Science, 303 (5659): 799-805 (2004)
14 years ago by @wnpxrz
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2A semi-parametric Bayesian model for unsupervised differential co-expression analysis
J. Freudenberg, S. Sivaganesan, M. Wagner, and M. Medvedovic. BMC Bioinformatics, 11 (1): 234 (2010)
14 years ago by @wnpxrz
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1Continuous Time Bayesian Network Reasoning and Learning Engine
C. Shelton, Y. Fan, W. Lam, J. Lee, and J. Xu. v11, (1137)
14 years ago by @wnpxrz
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1Bayesian approach to transforming public gene expression repositories into disease diagnosis databases
H. Huang, C. Liu, and X. Zhou. Proc Natl Acad Sci U S A, (April 2010)
14 years ago by @wnpxrz
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2R/BHC: fast Bayesian hierarchical clustering for microarray data
R. Savage, K. Heller, Y. Xu, Z. Ghahramani, W. Truman, M. Grant, K. Denby, and D. Wild. BMC Bioinformatics, 10 (1): 242 (2009)
14 years ago by @wnpxrz
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3ABCtoolbox: a versatile toolkit for approximate Bayesian computations
D. Wegmann, C. Leuenberger, S. Neuenschwander, and L. Excoffier. BMC Bioinformatics, 11 (1): 116 (2010)
14 years ago by @wnpxrz
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2Learning locally minimax optimal Bayesian networks
T. Silander, T. Roos, and P. Myllymäki. International Journal of Approximate Reasoning, (2010)
14 years ago by @wnpxrz
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5Real-world applications of Bayesian networks
D. Heckerman, A. Mamdani, and M. Wellman. Commun. ACM, (March 1995)
14 years ago by @wnpxrz
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1Learning causal networks from data&colon; a survey and a new algorithm for recovering possibilistic causal networks
R. Sangüesa, and U. Cortés. AI Commun., (January 1997)
14 years ago by @wnpxrz
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9A Guide to the Literature on Learning Probabilistic Networks from Data
W. Buntine. IEEE Trans. on Knowl. and Data Eng., 8 (2): 195--210 (1996)
14 years ago by @wnpxrz
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2An empirical Bayesian approach for model-based inference of cellular signaling networks
D. Klinke. BMC Bioinformatics, 10 (1): 371 (2009)
15 years ago by @wnpxrz
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1Bayesian inference of biochemical kinetic parameters using the linear noise approximation
M. Komorowski, B. Finkenstadt, C. Harper, and D. Rand. BMC Bioinformatics, 10 (1): 343 (2009)
15 years ago by @wnpxrz
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1Predicting eukaryotic transcriptional cooperativity by Bayesian network integration of genome-wide data
Y. Wang, X. Zhang, and Y. Xia. Nucl. Acids Res., 37 (18): 5943-5958 (2009)
15 years ago by @wnpxrz
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2Comparing Hierarchical Markov Networks and Multiply Sectioned Bayesian Networks
C. Butz, and H. Geng. (2003)
16 years ago by @wnpxrz
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1Modelling multiagent Bayesian networks with inclusion dependencies
C. Butz, and F. Fang. Intelligent Agent Technology, IEEE/WIC/ACM International Conference on, page 455- 458. (2005)
16 years ago by @wnpxrz
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1A Method for Detecting Context-Specific Independence in Conditional Probability Tables
C. Butz, and M. Sanscartier. (2001)
16 years ago by @wnpxrz
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BibSonomy

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1bnt - Project Hosting on Google Code

1PNL | Get PNL at SourceForge.net

2Bayesian networks

1List of probabilistic model mini-language toolkits - Brendan O'Connor's Blog

1JAGS Version 1.0.3 manual (application/pdf Object)

publications (hide)54
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12Operations for Learning with Graphical Models

3A Brief Introduction to Graphical Models and Bayesian Networks

5Getting started in probabilistic graphical models

1Ontologies for Probabilistic Networks

3Inferring Cellular Networks Using Probabilistic Graphical Models

2A semi-parametric Bayesian model for unsupervised differential co-expression analysis

1Continuous Time Bayesian Network Reasoning and Learning Engine

1Bayesian approach to transforming public gene expression repositories into disease diagnosis databases

2R/BHC: fast Bayesian hierarchical clustering for microarray data

3ABCtoolbox: a versatile toolkit for approximate Bayesian computations

2Learning locally minimax optimal Bayesian networks

5Real-world applications of Bayesian networks

1Learning causal networks from data&colon; a survey and a new algorithm for recovering possibilistic causal networks

9A Guide to the Literature on Learning Probabilistic Networks from Data

2An empirical Bayesian approach for model-based inference of cellular signaling networks

1Bayesian inference of biochemical kinetic parameters using the linear noise approximation

1Predicting eukaryotic transcriptional cooperativity by Bayesian network integration of genome-wide data

2Comparing Hierarchical Markov Networks and Multiply Sectioned Bayesian Networks

1Modelling multiagent Bayesian networks with inclusion dependencies

1A Method for Detecting Context-Specific Independence in Conditional Probability Tables

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