PARAMETER ESTIMATION FOR A BIOLOGICAL SYSTEM : MODEL AND EXPERIMENTATIONS
نویسندگان
چکیده
منابع مشابه
Parameter Estimation for a Biological System : Model and Experimentations
Temperature evolution and skin burn process in biological samples exposed to laser radiation are investigated in this communication. A one-dimensional multi-layered model is presented and transient temperature is numerically estimated using a finite difference method. A damage function corresponding to the extent of burn injury and using the Arrhenius assumptions is proposed. Two experimental b...
متن کاملMulti-Model System Parameter Estimation
We pose a multi-model system parameter estimation problem. A multi-model system is a linearly parameterized system H(z, p) = ∑np i=1 piHi(z). The parameter estimation problem is: given the set of systems {Hi(z)} np i=1, describing the multi-model system, find a causal system that assumes as an input the input/output signals of the multi-model system and produces as an output the parameter estim...
متن کاملAn S-System Parameter Estimation Method (SPEM) for Biological Networks
Advances in experimental biology, coupled with advances in computational power, bring new challenges to the interdisciplinary field of computational biology. One such broad challenge lies in the reverse engineering of gene networks, and goes from determining the structure of static networks, to reconstructing the dynamics of interactions from time series data. Here, we focus our attention on th...
متن کاملHybrid Evolutionary Clonal Selection for Parameter Estimation of Biological Model
The Clonal Selection Algorithm (CSA) is a widely used Artificial Immune Optimization (AIO) approach that tends to mimic the immune response when the pathogenic pattern is detected by the immune cells. However, this method, in its standard form, shows slow convergence and frequently traps in one of the local optima, especially for high dimensional problems. Hence, in this paper, an improved CSA ...
متن کاملParameter Estimation for System
SHARMA, SIDDHARTH. Parameter Estimation for System Biology Models on GPU Clusters . (Under the direction of Dr. James Tuck.) In this work, we consider the parallelization of interval based parameter estimation with uncertainty propagation for non-linear ODE models. This approach is especially important in systems biology research as it addresses the uncertainty often present in data recorded fr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IFAC Proceedings Volumes
سال: 2005
ISSN: 1474-6670
DOI: 10.3182/20050703-6-cz-1902.02131