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» Using Bayesian networks to analyze expression data
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BMCBI
2010
110views more  BMCBI 2010»
14 years 10 months ago
Towards the systematic discovery of signal transduction networks using phosphorylation dynamics data
Background: Phosphorylation is a ubiquitous and fundamental regulatory mechanism that controls signal transduction in living cells. The number of identified phosphoproteins and th...
Haruna Imamura, Nozomu Yachie, Rintaro Saito, Yasu...
ICIC
2009
Springer
15 years 4 months ago
Solar Radiation Forecasting Using Ad-Hoc Time Series Preprocessing and Neural Networks
In this paper, we present an application of neural networks in the renewable energy domain. We have developed a methodology for the daily prediction of global solar radiation on a ...
Christophe Paoli, Cyril Voyant, Marc Muselli, Mari...
CLADE
2008
IEEE
15 years 4 months ago
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...
Xinghua Shi, Rick Stevens
AUTOMATICA
2010
73views more  AUTOMATICA 2010»
14 years 10 months ago
Realization of Boolean control networks
Based on the linear expression of the dynamics of Boolean networks, the coordinate transformation of Boolean variables is defined. It follows that the state space coordinate trans...
Daizhan Cheng, Zhi Qiang Li, Hongsheng Qi
MMNS
2000
98views Multimedia» more  MMNS 2000»
14 years 11 months ago
Automating Internet Routing Behavior Analysis Using Public WWW Traceroute Services
: Growing dependence of commerce, industry and academia on the Internet underlines importance of analyzing its behavior. Changing Internet structure makes the gathered data quickly...
Selim Gurun, Boleslaw K. Szymanski