Machine Learning and Deep Learning in Synthetic Biology: Key Architectures, Applications, and Challenges

Bibliographic Details
Main Author: Manoj Kumar Goshisht
Format: Article
Language:English
Published: American Chemical Society 2024-02-01
Series:ACS Omega
Online Access:https://doi.org/10.1021/acsomega.3c05913
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author Manoj Kumar Goshisht
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spelling doaj.art-7e0d8afd69c54fbd9f53e59228a5f0eb2024-03-05T13:40:54ZengAmerican Chemical SocietyACS Omega2470-13432024-02-01999921994510.1021/acsomega.3c05913Machine Learning and Deep Learning in Synthetic Biology: Key Architectures, Applications, and ChallengesManoj Kumar Goshishthttps://doi.org/10.1021/acsomega.3c05913
spellingShingle Manoj Kumar Goshisht
Machine Learning and Deep Learning in Synthetic Biology: Key Architectures, Applications, and Challenges
ACS Omega
title Machine Learning and Deep Learning in Synthetic Biology: Key Architectures, Applications, and Challenges
title_full Machine Learning and Deep Learning in Synthetic Biology: Key Architectures, Applications, and Challenges
title_fullStr Machine Learning and Deep Learning in Synthetic Biology: Key Architectures, Applications, and Challenges
title_full_unstemmed Machine Learning and Deep Learning in Synthetic Biology: Key Architectures, Applications, and Challenges
title_short Machine Learning and Deep Learning in Synthetic Biology: Key Architectures, Applications, and Challenges
title_sort machine learning and deep learning in synthetic biology key architectures applications and challenges
url https://doi.org/10.1021/acsomega.3c05913
work_keys_str_mv AT manojkumargoshisht machinelearninganddeeplearninginsyntheticbiologykeyarchitecturesapplicationsandchallenges