Enhanced segment particle swarm optimization for large-scale kinetic parameter estimation of escherichia coli network model
The development of a large-scale metabolic model of Escherichia coli (E. coli) is very crucial to identify the potential solution of industrially viable productions. However, the large-scale kinetic parameters estimation using optimization algorithms is still not applied to the main metabolic pathwa...
Main Author: | Mohammed Adam, Kunna Azrag |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/39571/1/ir.Enhanced%20segment%20particle%20swarm%20optimization%20for%20large-scale%20kinetic%20parameter%20estimation.pdf |
Similar Items
-
Segment particle swarm optimization adoption for large-scale kinetic parameter identification of escherichia coli metabolic network model
by: Azrag, Mohammed Adam Kunna, et al.
Published: (2018) -
Kinetic paramaters identification for large-scle metabolic model of escherichia coli
by: Mohammed Adam, Kunna Azrag
Published: (2015) -
Estimation of small-scale kinetic parameters of escherichia coli (E. coli) model by enhanced segment particle swarm optimization algorithm ese-pso
by: Mohammed Adam Kunna, Azrag, et al.
Published: (2023) -
Large-scale kinetic parameters estimation of metabolic model of escherichia coli
by: Azrag, M. A. K., et al.
Published: (2019) -
Segment Particle Swarm Optimization Adoption for Large-Scale Kinetic Parameter Identification of Metabolic Network Model
by: Azrag, M. A. K., et al.
Published: (2018)