In silico metabolites production enhancement using hybrid genetic colony optimization and flux balance analysis

In silico metabolites production enhancement using hybrid genetic colony optimization and flux balance analysis

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Bibliographic Details
Main Author: Abdul Hakim Mohamed Salleh
Format: Thesis
Published: 2014
Subjects:
QH Natural history
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id my-utm-ep.48481
record_format uketd_dc
spelling my-utm-ep.484812015-10-15T01:09:09Z In silico metabolites production enhancement using hybrid genetic colony optimization and flux balance analysis 2014 Abdul Hakim Mohamed Salleh, QH Natural history 2014 Thesis http://eprints.utm.my/id/eprint/48481/ masters Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic QH Natural history
spellingShingle QH Natural history
Abdul Hakim Mohamed Salleh,
In silico metabolites production enhancement using hybrid genetic colony optimization and flux balance analysis
description
format Thesis
qualification_level Master's degree
author Abdul Hakim Mohamed Salleh,
author_facet Abdul Hakim Mohamed Salleh,
author_sort Abdul Hakim Mohamed Salleh,
title In silico metabolites production enhancement using hybrid genetic colony optimization and flux balance analysis
title_short In silico metabolites production enhancement using hybrid genetic colony optimization and flux balance analysis
title_full In silico metabolites production enhancement using hybrid genetic colony optimization and flux balance analysis
title_fullStr In silico metabolites production enhancement using hybrid genetic colony optimization and flux balance analysis
title_full_unstemmed In silico metabolites production enhancement using hybrid genetic colony optimization and flux balance analysis
title_sort in silico metabolites production enhancement using hybrid genetic colony optimization and flux balance analysis
granting_institution Universiti Teknologi Malaysia, Faculty of Computing
granting_department Faculty of Computing
publishDate 2014
_version_ 1747817400865128448

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