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BMCBI
2010
160views more  BMCBI 2010»
13 years 7 months ago
Extracting consistent knowledge from highly inconsistent cancer gene data sources
Background: Hundreds of genes that are causally implicated in oncogenesis have been found and collected in various databases. For efficient application of these abundant but diver...
Xue Gong, Ruihong Wu, Yuannv Zhang, Wenyuan Zhao, ...
TOMACS
2002
110views more  TOMACS 2002»
13 years 7 months ago
Rapid model parameterization from traffic measurements
The utility of simulations and analysis heavily relies on good models of network traffic. While network traffic constantly changing over time, existing approaches typically take y...
Kun-Chan Lan, John S. Heidemann
ESANN
2003
13 years 9 months ago
Modeling of growing networks with directional attachment and communities
In this paper, we propose a new network growth model and its learning algorithm to more precisely model such a real-world growing network as the Web. Unlike the conventional model...
Masahiro Kimura, Kazumi Saito, Naonori Ueda
JCB
2006
185views more  JCB 2006»
13 years 7 months ago
Bayesian Sequential Inference for Stochastic Kinetic Biochemical Network Models
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...
Andrew Golightly, Darren J. Wilkinson
IWANN
2007
Springer
14 years 1 months ago
A Novel 2-D Model Approach for the Prediction of Hourly Solar Radiation
In this work, a two-dimensional (2-D) representation of the hourly solar radiation data is proposed. The model enables accurate forecasting using image prediction methods. One year...
Fatih Onur Hocaoglu, Ömer Nezih Gerek, Mehmet...