Segment particle swarm optimization adoption for large-scale kinetic parameter identification of escherichia coli metabolic network model
Kinetic parameter identification in the dynamic metabolic model of Escherichia coli (E. coli) has become important and is needed to obtain appropriate metabolite and enzyme data that are valid under in vivo conditions. The dynamic metabolic model under study represents five metabolic pathways with m...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2018
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/33504/1/Segment%20particle%20swarm%20optimization%20adoption%20for%20large-scale%20kinetic%20parameter%20l.pdf http://umpir.ump.edu.my/id/eprint/33504/ https://doi.org/10.1109/ACCESS.2018.2885118 https://doi.org/10.1109/ACCESS.2018.2885118 |
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Institution: | Universiti Malaysia Pahang |
Language: | English |
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