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» Reduced modeling of signal transduction - a modular approach
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BIB
2008
93views more  BIB 2008»
13 years 5 months ago
A structured approach for the engineering of biochemical network models, illustrated for signalling pathways
Quantitative models of biochemical networks (signal transduction cascades, metabolic pathways, gene regulatory circuits) are a central component of modern systems biology. Buildin...
Rainer Breitling, David Gilbert, Monika Heiner, Ri...
APVIS
2009
13 years 6 months ago
Visualization of signal transduction processes in the crowded environment of the cell
In this paper, we propose a stochastic simulation to model and analyze cellular signal transduction. The high number of objects in a simulation requires advanced visualization tec...
Martin Falk, Michael Klann, Matthias Reuss, Thomas...
ICNC
2005
Springer
13 years 11 months ago
Typing Aberrance in Signal Transduction
We have developed a calculus, called Ipi, for describing the aberrance in biological models. Our approach extends the traditional pi calculus to handle aberrant process in the sign...
Min Zhang, Guoqiang Li, Yuxi Fu, Zhizhou Zhang, Li...
BMCBI
2005
114views more  BMCBI 2005»
13 years 5 months ago
Signal transduction pathway profiling of individual tumor samples
Background: Signal transduction pathways convey information from the outside of the cell to transcription factors, which in turn regulate gene expression. Our objective is to anal...
Thomas Breslin, Morten Krogh, Carsten Peterson, Ca...
ICASSP
2010
IEEE
13 years 6 months ago
Discriminative training methods for language models using conditional entropy criteria
This paper addresses the problem of discriminative training of language models that does not require any transcribed acoustic data. We propose to minimize the conditional entropy ...
Jui-Ting Huang, Xiao Li, Alex Acero