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From reductionist approaches to systems biology, and from conventional plant breeding to synthetic biology, the future of plant biology research relies on the adoption of computational methods to analyze experimental data and develop predictive models. In biomedicine, mathematical models are already revolutionizing drug discovery; in agriculture, they have the potential to generate more efficient, faster growing crop varieties.
The goal of the Cheung lab is to bring quantitative techniques and mathematical modeling to plants in order to gain systems-level insight into their physiology and development – particularly to understanding how metabolic and gene regulatory networks interact to control homeostasis and growth.
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论文共 27 篇作者统计合作学者相似作者
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bioRxiv (Cold Spring Harbor Laboratory) (2023)
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