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» Statistical analysis of simulation output: state of the art
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WSC
1998
14 years 11 months ago
Bayesian Model Selection when the Number of Components is Unknown
In simulation modeling and analysis, there are two situations where there is uncertainty about the number of parameters needed to specify a model. The first is in input modeling w...
Russell C. H. Cheng
BMCBI
2007
173views more  BMCBI 2007»
14 years 9 months ago
Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
SIAMSC
2011
126views more  SIAMSC 2011»
14 years 4 months ago
Fast Structured AMG Preconditioning for the Bidomain Model in Electrocardiology
The electrical activity of the heart may be modeled by a non-linear system of partial differential equations known as the bidomain model. Due to the rapid variations in the electr...
Micol Pennacchio, Valeria Simoncini
DAC
2002
ACM
15 years 10 months ago
A universal technique for fast and flexible instruction-set architecture simulation
In the last decade, instruction-set simulators have become an essential development tool for the design of new programmable architectures. Consequently, the simulator performance ...
Achim Nohl, Gunnar Braun, Oliver Schliebusch, Rain...
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BMCBI
2007
185views more  BMCBI 2007»
14 years 9 months ago
GEDI: a user-friendly toolbox for analysis of large-scale gene expression data
Background: Several mathematical and statistical methods have been proposed in the last few years to analyze microarray data. Most of those methods involve complicated formulas, a...
André Fujita, João Ricardo Sato, Car...