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» A copula method for modeling directional dependence of genes
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RECOMB
2007
Springer
15 years 3 months ago
Network Legos: Building Blocks of Cellular Wiring Diagrams
Publicly-available data sets provide detailed and large-scale information on multiple types of molecular interaction networks in a number of model organisms. These multi-modal univ...
T. M. Murali, Corban G. Rivera
JCB
2008
159views more  JCB 2008»
14 years 9 months ago
BayesMD: Flexible Biological Modeling for Motif Discovery
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Man-Hung Eric Tang, Anders Krogh, Ole Winther
UAI
2003
14 years 11 months ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
ICML
2005
IEEE
15 years 10 months ago
New d-separation identification results for learning continuous latent variable models
Learning the structure of graphical models is an important task, but one of considerable difficulty when latent variables are involved. Because conditional independences using hid...
Ricardo Silva, Richard Scheines
ICDE
2005
IEEE
161views Database» more  ICDE 2005»
15 years 11 months ago
Network-Based Problem Detection for Distributed Systems
We introduce a network-based problem detection framework for distributed systems, which includes a data-mining method for discovering dynamic dependencies among distributed servic...
Hisashi Kashima, Tadashi Tsumura, Tsuyoshi Id&eacu...