481 search results - page 13 / 97 » Parameter estimation for Boolean models of biological networ... |
BMCBI
2007
14 years 9 months ago
2007
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
106
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CMG
2008
14 years 11 months ago
2008
One of the challenges in building analytic performance models such as queuing network models is obtaining service demands for the various workloads and various devices. While some...
103
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HIS
2003
14 years 11 months ago
2003
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
TSP
2008
14 years 9 months ago
2008
Probabilistic Boolean networks (PBNs) have been recently introduced as a paradigm for modeling genetic regulatory networks. One of the objectives of PBN modeling is to use the netw...
120
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LSGRID
2004
Springer
15 years 3 months ago
2004
Springer
Many useful applications of simulation in computational cell biology, e.g. kinetic parameter estimation, Metabolic Control Analysis (MCA), and bifurcation analysis, require a large...