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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
14 years 1 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
LSGRID
2004
Springer
14 years 3 months ago
Distributed Cell Biology Simulations with E-Cell System
Many useful applications of simulation in computational cell biology, e.g. kinetic parameter estimation, Metabolic Control Analysis (MCA), and bifurcation analysis, require a large...
Masahiro Sugimoto, Kouichi Takahashi, Tomoya Kitay...
BMCBI
2007
140views more  BMCBI 2007»
13 years 10 months ago
From genes to functional classes in the study of biological systems
Background: With the popularisation of high-throughput techniques, the need for procedures that help in the biological interpretation of results has increased enormously. Recently...
Fátima Al-Shahrour, Leonardo Arbiza, Hern&a...
ISMB
1998
13 years 11 months ago
The LabFlow System for Workflow Management in Large Scale Biology Research Laboratories
LabFlowis a workflowmanagementsystem designed for large scale biologyresearch laboratories. It providesa workflowmodelin whichobjects flowfromtask to task under programmaticcontro...
Nathan Goodman, Steve Rozen, Lincoln Stein
BIB
2007
108views more  BIB 2007»
13 years 10 months ago
Bayesian methods in bioinformatics and computational systems biology
Bayesian methods are valuable, inter alia, whenever there is a need to extract information from data that is uncertain or subject to any kind of error or noise (including measurem...
Darren J. Wilkinson