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» Using Bayesian networks to analyze expression data
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JAMIA
2011
94views more  JAMIA 2011»
14 years 7 months ago
Protein-network modeling of prostate cancer gene signatures reveals essential pathways in disease recurrence
Objective Uncovering the dominant molecular deregulation among the multitude of pathways implicated in aggressive prostate cancer is essential to intelligently developing targeted...
James L. Chen, Jianrong Li, Walter M. Stadler, Yve...
SCFBM
2008
138views more  SCFBM 2008»
15 years 3 months ago
Epigrass: a tool to study disease spread in complex networks
Background: The construction of complex spatial simulation models such as those used in network epidemiology, is a daunting task due to the large amount of data involved in their ...
Flávio C. Coelho, Oswaldo G. Cruz, Cl&aacut...
BMCBI
2008
88views more  BMCBI 2008»
15 years 4 months ago
Microarray-based gene set analysis: a comparison of current methods
Background: The analysis of gene sets has become a popular topic in recent times, with researchers attempting to improve the interpretability and reproducibility of their microarr...
Sarah Song, Michael A. Black
ICANN
2007
Springer
15 years 10 months ago
Structure Learning with Nonparametric Decomposable Models
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
Anton Schwaighofer, Mathäus Dejori, Volker Tr...
PE
2006
Springer
109views Optimization» more  PE 2006»
15 years 4 months ago
A discrete-time queueing model with periodically scheduled arrival and departure slots
We consider a time-slotted queueing model where each time slot can either be an arrival slot, in which new packets arrive, or a departure slot, in which packets are transmitted an...
Johan van Leeuwaarden, Dee Denteneer, Jacques Resi...