Computer Science University of Nottingham Nottingham / Mathematical Sciences University of Nottingham Nottingham / Manufacturing Engineering University of Nottingham Nottingham / University of Nottingham / /
IndustryTerm
near real time / multiagent systems / diffusion algorithm / bacterial systems / multiagent simulation tools / quorum-sensing systems / therapeutic applications / gene networks / /
School of Computer Science / University of Nottingham / MULTISCALE MODELS OF BACTERIAL POPULATIONS Michael Lees School of Mechanical / Division of Applied Mathematics / Computer Science University of Nottingham Nottingham / U.K. Brian Logan John King School / Mechanical / Materials and Manufacturing Engineering University of Nottingham Nottingham / School of Mathematical Sciences / Mathematical Sciences University of Nottingham Nottingham / School of Mechanical / Materials and Manufacturing Engineering / /
Person
LY LX / K. Brian Logan / J. Shortle / MICHAEL LEES / BRIAN LOGAN / Figure / J. P. Ward / JOHN KING / A. J. Koerber / /
Position
AUTHOR / King / professor and head / continuum model / signalling and up-regulation model / lecturer / representative / /
ProgrammingLanguage
Java / /
PublishedMedium
Current Opinion / Microbiology and Molecular Biology Reviews / Journal of Theoretical Biology / Applied and Environmental Microbiology / Nature Reviews Microbiology / /
Proceedings of the 2007 Winter Simulation Conference S. G. Henderson, B. Biller, M.-H. Hsieh, J. Shortle, J. D. Tew, and R. R. Barton, eds. MULTISCALE MODELS OF BACTERIAL POPULATIONS Michael Lees