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pro vyhledávání: '"Baldwin, Geoff"'
We apply logic-based machine learning techniques to facilitate cellular engineering and drive biological discovery, based on comprehensive databases of metabolic processes called genome-scale metabolic network models (GEMs). Predicted host behaviours
Externí odkaz:
http://arxiv.org/abs/2408.14487
Recent attention to relational knowledge bases has sparked a demand for understanding how relations change between entities. Petri nets can represent knowledge structure and dynamically simulate interactions between entities, and thus they are well s
Externí odkaz:
http://arxiv.org/abs/2405.11412
Techniques to autonomously drive research have been prominent in Computational Scientific Discovery, while Synthetic Biology is a field of science that focuses on designing and constructing new biological systems for useful purposes. Here we seek to
Externí odkaz:
http://arxiv.org/abs/2405.06724
Autor:
Ai, Lun, Liang, Shi-Shun, Dai, Wang-Zhou, Hallett, Liam, Muggleton, Stephen H., Baldwin, Geoff S.
An important application of Synthetic Biology is the engineering of the host cell system to yield useful products. However, an increase in the scale of the host system leads to huge design space and requires a large number of validation trials with h
Externí odkaz:
http://arxiv.org/abs/2308.12740
The application of Artificial Intelligence (AI) to synthetic biology will provide the foundation for the creation of a high throughput automated platform for genetic design, in which a learning machine is used to iteratively optimise the system throu
Externí odkaz:
http://arxiv.org/abs/2105.07758
Akademický článek
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Autor:
Baldwin, Geoff
Publikováno v:
The Historical Journal, 2001 Jun 01. 44(2), 341-364.
Externí odkaz:
https://www.jstor.org/stable/3133611
Autor:
BALDWIN, GEOFF gbaldwin@stacklaw.com.au
Publikováno v:
Governance Directions. Mar2023, Vol. 75 Issue 2, p835-837. 3p.
Autor:
Beal, Jacob1 (AUTHOR) jakebeal@ieee.org, Baldwin, Geoff S.2 (AUTHOR) jakebeal@ieee.org, Farny, Natalie G.3 (AUTHOR) jakebeal@ieee.org, Gershater, Markus4 (AUTHOR) jakebeal@ieee.org, Haddock-Angelli, Traci5 (AUTHOR) jakebeal@ieee.org, Buckley-Taylor, Russell2 (AUTHOR), Dwijayanti, Ari2 (AUTHOR), Kiga, Daisuke6 (AUTHOR), Lizarazo, Meagan5 (AUTHOR), Marken, John7 (AUTHOR), de Mora, Kim5 (AUTHOR), Rettberg, Randy5 (AUTHOR), Sanchania, Vishal4 (AUTHOR), Selvarajah, Vinoo5 (AUTHOR), Sison, Abigail5 (AUTHOR), Storch, Marko8 (AUTHOR), Workman, Christopher T.9 (AUTHOR)
Publikováno v:
PLoS ONE. 6/7/2021, Vol. 16 Issue 6, p1-15. 15p.
Revealing the Host-Dependent Nature of an Engineered Genetic Inverter in Concordance with Physiology
Publikováno v:
Chan, Baldwin, Bernstein. Revealing the Host-Dependent Nature of an Engineered Genetic Inverter in Concordance with Physiology. BioDesign Research. 2023;5
Externí odkaz:
https://hdl.handle.net/10037/32812