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Applications of Deep Learning and Reinforcement Learning to Biological Data
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“Rapid advances in artificial intelligence and machine learning are already enabling substantial advances in biological design that were unimaginable 5 years ago (193–196), and the application of these techniques to the PFAS problem has already started to appear in the scientific literature (197–199).”
From Toward the development of a molecular toolkit for the microbial remediation of per-and polyfluoroalkyl substances (2024) · cites this paper as [193]
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Metadata
- Authors
- Mahmud, M., Kaiser, M. S., Hussain, A., & Vassanelli, S.
- Venue
- IEEE Transactions on Neural Networks and Learning Systems
- Published
- 2018-06
- Volume
- 29
- Issue
- 6
- Pages
- 2063-2079
- ISSN
- 2162-237X
- 2162-2388
- Cited by
- 765
- References
- 29
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