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» On deducing causality in metabolic networks
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BMCBI
2008
119views more  BMCBI 2008»
13 years 5 months ago
On deducing causality in metabolic networks
Background: Metabolic networks present a complex interconnected structure, whose understanding is in general a non-trivial task. Several formal approaches have been developed to s...
Chiara Bodei, Andrea Bracciali, Davide Chiarugi
BIOSYSTEMS
2008
130views more  BIOSYSTEMS 2008»
13 years 5 months ago
Biological networks in metabolic P systems
The metabolic P algorithm is a procedure which determines, in a biochemically realistic way, the evolution of P systems representing biological phenomena. A new formulation of thi...
Vincenzo Manca, Luca Bianco
BMCBI
2010
126views more  BMCBI 2010»
13 years 2 months ago
Systematic integration of experimental data and models in systems biology
Background: The behaviour of biological systems can be deduced from their mathematical models. However, multiple sources of data in diverse forms are required in the construction ...
Peter Li, Joseph O. Dada, Daniel Jameson, Irena Sp...
BMCBI
2007
215views more  BMCBI 2007»
13 years 4 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
ALIFE
2006
13 years 4 months ago
Axiomatic Scalable Neurocontroller Analysis via the Shapley Value
One of the major challenges in the field of neurally driven evolved autonomous agents is deciphering the neural mechanisms underlying their behavior. Aiming at this goal, we have d...
Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaa...