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» A Framework for Modelling and Simulating Networks of Cells
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BMCBI
2007
215views more  BMCBI 2007»
13 years 9 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
MOBICOM
2004
ACM
14 years 2 months ago
A scalable model for channel access protocols in multihop ad hoc networks
A new modeling framework is introduced for the analytical study of medium access control (MAC) protocols operating in multihop ad hoc networks. The model takes into account the eļ...
Marcelo M. Carvalho, Jose Joaquin Garcia-Luna-Acev...
JCNS
2002
99views more  JCNS 2002»
13 years 8 months ago
Coarse-Grained Reduction and Analysis of a Network Model of Cortical Response: I. Drifting Grating Stimuli
We present a reduction of a large-scale network model of visual cortex developed by McLaughlin, Shapley, Shelley, and Wielaard. The reduction is from many integrate-and-fire neuron...
Michael Shelley, David McLaughlin
BMCBI
2010
147views more  BMCBI 2010»
13 years 9 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
CORR
2007
Springer
110views Education» more  CORR 2007»
13 years 9 months ago
Graph Annotations in Modeling Complex Network Topologies
abstract such additional information as network annotations. We introduce a network topology modeling framework that treats annotations as an extended correlation proļ¬le of a net...
Xenofontas A. Dimitropoulos, Dmitri V. Krioukov, A...