Systems biology approaches integrated with artificial intelligence for optimized metabolic engineering

10.1016/j.mec.2020.e00149

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Bibliographic Details
Main Authors: Helmy, M., Smith, D., Selvarajoo, K.
Other Authors: DEAN'S OFFICE (MEDICINE)
Format: Review
Published: Elsevier B.V. 2021
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/198988
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1989882023-08-30T22:14:08Z Systems biology approaches integrated with artificial intelligence for optimized metabolic engineering Helmy, M. Smith, D. Selvarajoo, K. DEAN'S OFFICE (MEDICINE) Artificial intelligence Food industry Machine learning Metabolic engineering Systems biology 10.1016/j.mec.2020.e00149 Metabolic Engineering Communications 11 e00149 2021-08-24T02:40:35Z 2021-08-24T02:40:35Z 2020 Review Helmy, M., Smith, D., Selvarajoo, K. (2020). Systems biology approaches integrated with artificial intelligence for optimized metabolic engineering. Metabolic Engineering Communications 11 : e00149. ScholarBank@NUS Repository. https://doi.org/10.1016/j.mec.2020.e00149 2214-0301 https://scholarbank.nus.edu.sg/handle/10635/198988 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Elsevier B.V. Scopus OA2020
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Artificial intelligence
Food industry
Machine learning
Metabolic engineering
Systems biology
spellingShingle Artificial intelligence
Food industry
Machine learning
Metabolic engineering
Systems biology
Helmy, M.
Smith, D.
Selvarajoo, K.
Systems biology approaches integrated with artificial intelligence for optimized metabolic engineering
description 10.1016/j.mec.2020.e00149
author2 DEAN'S OFFICE (MEDICINE)
author_facet DEAN'S OFFICE (MEDICINE)
Helmy, M.
Smith, D.
Selvarajoo, K.
format Review
author Helmy, M.
Smith, D.
Selvarajoo, K.
author_sort Helmy, M.
title Systems biology approaches integrated with artificial intelligence for optimized metabolic engineering
title_short Systems biology approaches integrated with artificial intelligence for optimized metabolic engineering
title_full Systems biology approaches integrated with artificial intelligence for optimized metabolic engineering
title_fullStr Systems biology approaches integrated with artificial intelligence for optimized metabolic engineering
title_full_unstemmed Systems biology approaches integrated with artificial intelligence for optimized metabolic engineering
title_sort systems biology approaches integrated with artificial intelligence for optimized metabolic engineering
publisher Elsevier B.V.
publishDate 2021
url https://scholarbank.nus.edu.sg/handle/10635/198988
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