San Francisco / Bradford / New York / Washington / DC / Berlin / Portland / London / /
Company
Columbia University Press / MIT Press / Elsevier Academic Press / Ge / Blackwell Publishing / Evolving Embodied Genetic Regulatory NetworkDriven Control Systems / Oxford University Press / Brodsky / Newman S. A. / Kauffman S. A. / Adaptive Systems / /
Country
United States / / /
Facility
Informatics Research University of Hertfordshire / /
IndustryTerm
energy constraint / genetic regulatory networks / energy constraints / well documented algorithms / overall energy / protein binding site / online version / energy properties / chemical basis / evolutionary algorithm / chemical gradients / evolutionary algorithms / Software package / energy penalties / free distributed computing software / neural network / reaction diffusion systems / cell regulatory networks / continuous genetic regulatory networks / /
MedicalCondition
dissociation / /
Organization
BioComputation Research Groups Centre for Computer Science / Columbia University / Royal Society of London / MIT / Congress / University of Hertfordshire / Oxford University / IEEE Computer Society / /
Person
Artificial Life / A GRN / Genetic Algorithm / Morgan Kaufmann / L. Wolpert / Proc / /
Position
editor / Glazier / model / model of developmental biologist L. Wolpert / controller / developmental biologist / /
Product
another major new module /
ProvinceOrState
Oregon / New York / /
PublishedMedium
The Evolution / Physica A / Philosophical Transactions of the Royal Society / Journal of Theoretical Biology / Lecture Notes in Computer Science / /
Evolution and Morphogenesis of Differentiated Multicellular Organisms: Autonomously Generated Diffusion Gradients for Positional Information Johannes F. Knabe1 , Maria J. Schilstra2 and Chrystopher Nehaniv1,2