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BMCBI
2007
215views more  BMCBI 2007»
13 years 5 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
CMSB
2011
Springer
12 years 5 months ago
Coloured stochastic multilevel multiset rewriting
From the phosphorylation state of a molecule to the volume of a cell, parameters are ubiquitous in systems biology. At the same time, most models involve static or dynamic compart...
Nicolas Oury, Gordon D. Plotkin
CEC
2010
IEEE
13 years 12 days ago
Parameter estimation with term-wise decomposition in biochemical network GMA models by hybrid regularized Least Squares-Particle
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
Prospero C. Naval, Luis G. Sison, Eduardo R. Mendo...
IROS
2006
IEEE
208views Robotics» more  IROS 2006»
13 years 11 months ago
Modeling Soft Contact Mechanism of Biological Cells Using an Atomic Force Bio-Microscope
— The development of a mechanical force sensing device system based on force/vision feedback control for exploring in vitro the contact mechanics of human adherent cervix Epithel...
Maxime Girot, Mehdi Boukallel, Stephane Rég...
SAC
2004
ACM
13 years 10 months ago
Combining analysis and synthesis in a model of a biological cell
for ideas, and then abstract away from these ideas to produce algorithmic processes that can create problem solutions in a bottom-up manner. We have previously described a top-dow...
Ken Webb, Tony White