TY - JOUR
T1 - A linear code parameter search algorithm with applications to immunology
AU - Constantine, Gregory M.
AU - Bartels, John
AU - Chow, Carson C.
AU - Clermont, Gilles
AU - Vodovotz, Yoram
N1 - Funding Information:
This work was funded under the NIH grant GM67240.
PY - 2009/1
Y1 - 2009/1
N2 - The immune system is modeled by way of a system of ordinary differential equations involving a large number of parameters, such as growth rates and initial conditions. Key to successful implementation of the model is the estimation of such parameters from available data. A parameter search algorithm based on linear codes is developed having as aim the identification of different regimes of behaviour of the model, the estimation of parameters in a high dimensional space, and the model calibration to data.
AB - The immune system is modeled by way of a system of ordinary differential equations involving a large number of parameters, such as growth rates and initial conditions. Key to successful implementation of the model is the estimation of such parameters from available data. A parameter search algorithm based on linear codes is developed having as aim the identification of different regimes of behaviour of the model, the estimation of parameters in a high dimensional space, and the model calibration to data.
KW - Differential equations
KW - Dynamical system modeling
KW - Immune system
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=58149508817&partnerID=8YFLogxK
U2 - 10.1007/s10589-007-9118-9
DO - 10.1007/s10589-007-9118-9
M3 - Article
AN - SCOPUS:58149508817
SN - 0926-6003
VL - 42
SP - 155
EP - 171
JO - Computational Optimization and Applications
JF - Computational Optimization and Applications
IS - 1
ER -